| 2018 | "Bridge": Enhanced Signed Directed Network Embedding. Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun |
| 2018 | "Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange |
| 2018 | "Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak |
| 2018 | A Combined Representation Learning Approach for Better Job and Skill Recommendation. Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem |
| 2018 | A Content-Based Approach for Modeling Analytics Operators. Ioannis Giannakopoulos, Dimitrios Tsoumakos, Nectarios Koziris |
| 2018 | A Dynamical System on Bipartite Graphs. Kishore Papineni, Pratik Worah |
| 2018 | A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. Yaochen Hu, Di Niu, Jianming Yang |
| 2018 | A Globalization-Semantic Matching Neural Network for Paraphrase Identification. Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li |
| 2018 | A Hybrid Approach for Automatic Model Recommendation. Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach |
| 2018 | A Network-embedding Based Method for Author Disambiguation. Jun Xu, Siqi Shen, Dongsheng Li, Yongquan Fu |
| 2018 | A Novel Online Stacked Ensemble for Multi-Label Stream Classification. Alican Büyükçakir, Hamed R. Bonab, Fazli Can |
| 2018 | A Quantum Many-body Wave Function Inspired Language Modeling Approach. Peng Zhang, Zhan Su, Lipeng Zhang, Benyou Wang, Dawei Song |
| 2018 | A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. Xuan Wu, Lingxiao Zhao, Leman Akoglu |
| 2018 | A Recurrent Neural Network for Sentiment Quantification. Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani |
| 2018 | A Scalable Algorithm for Higher-order Features Generation using MinHash. Pooja A, Naveen Nair, Rajeev Rastogi |
| 2018 | A Sequential Neural Information Diffusion Model with Structure Attention. Zhitao Wang, Chengyao Chen, Wenjie Li |
| 2018 | A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen |
| 2018 | A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching. Xijun Li, Jianguo Yao, Mingxuan Yuan, Jia Zeng |
| 2018 | ANR: Aspect-based Neural Recommender. Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong |
| 2018 | AQuPR: Attention based Query Passage Retrieval. Parth Pathak, Mithun Das Gupta, Niranjan Nayak, Harsh Kohli |
| 2018 | ASTRO: A Datalog System for Advanced Stream Reasoning. Ariyam Das, Sahil M. Gandhi, Carlo Zaniolo |
| 2018 | Abnormal Event Detection via Heterogeneous Information Network Embedding. Shaohua Fan, Chuan Shi, Xiao Wang |
| 2018 | AceKG: A Large-scale Knowledge Graph for Academic Data Mining. Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang |
| 2018 | Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu |
| 2018 | Adversarial Learning of Answer-Related Representation for Visual Question Answering. Yun Liu, Xiaoming Zhang, Feiran Huang, Zhoujun Li |
| 2018 | Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen |
| 2018 | Alexa and Her Shopping Journey. Yoelle Maarek |
| 2018 | An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram |
| 2018 | An Attentive Interaction Network for Context-aware Recommendations. Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie |
| 2018 | An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. Anjie Fang, Iadh Ounis, Craig Macdonald, Philip Habel, Xiaoyu Xiong, Haitao Yu |
| 2018 | An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media. Guandan Chen, Nan Xu, Wenji Mao |
| 2018 | An Option Gate Module for Sentence Inference on Machine Reading Comprehension. Xuming Lin, Ruifang Liu, Yiwei Li |
| 2018 | Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings. Rana Hussein, Dingqi Yang, Philippe Cudré-Mauroux |
| 2018 | Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation. Shaoyun Shi, Min Zhang, Yiqun Liu, Shaoping Ma |
| 2018 | Attentive Encoder-based Extractive Text Summarization. Chong Feng, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2018 | Attentive Neural Architecture for Ad-hoc Structured Document Retrieval. Saeid Balaneshinkordan, Alexander Kotov, Fedor Nikolaev |
| 2018 | Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff |
| 2018 | BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data. Jan Kristof Nidzwetzki, Ralf Hartmut Güting |
| 2018 | Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora. Tim Repke, Ralf Krestel, Jakob Edding, Moritz Hartmann, Jonas Hering, Dennis Kipping, Hendrik Schmidt, Nico Scordialo, Alexander Zenner |
| 2018 | Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li |
| 2018 | Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai |
| 2018 | Bug Localization by Learning to Rank and Represent Bug Inducing Changes. Pablo Loyola, Kugamoorthy Gajananan, Fumiko Satoh |
| 2018 | CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data. Po-Ruey Lei, Li-Pin Xiao, Yu Ting Wen, Wen-Chih Peng |
| 2018 | CEC: Constraints based Explanation for Classifications. Daniel Deutch, Nave Frost |
| 2018 | CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks. Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee |
| 2018 | CIKM 2018 Co-Located Workshops Summary. Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos |
| 2018 | COPA: Constrained PARAFAC2 for Sparse & Large Datasets. Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun |
| 2018 | CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De |
| 2018 | CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU. Hao Li, Kenli Li, Ji-yao An, Keqin Li |
| 2018 | Calibration: A Simple Way to Improve Click Models. Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke |
| 2018 | Can User Behaviour Sequences Reflect Perceived Novelty? Mengdie Zhuang, Elaine G. Toms, Gianluca Demartini |
| 2018 | Causal Dependencies for Future Interest Prediction on Twitter. Negar Arabzadeh, Hossein Fani, Fattane Zarrinkalam, Ahmed Navivala, Ebrahim Bagheri |
| 2018 | Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task. Makoto P. Kato, Tomohiro Manabe, Sumio Fujita, Akiomi Nishida, Takehiro Yamamoto |
| 2018 | ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos |
| 2018 | CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. Guangneng Hu, Yu Zhang, Qiang Yang |
| 2018 | Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning. Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Cong Zhao |
| 2018 | Collaborative Alert Ranking for Anomaly Detection. Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li |
| 2018 | Collaborative Multi-objective Ranking. Jun Hu, Ping Li |
| 2018 | Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. Yuxin Su, Michael R. Lyu, Irwin King |
| 2018 | Compiling Questions into Balanced Quizzes about Documents. Cristina Menghini, Jessica Dehler-Zufferey, Robert West |
| 2018 | Construction of Efficient V-Gram Dictionary for Sequential Data Analysis. Igor Kuralenok, Natalia Starikova, Aleksandr Khvorov, Julian Serdyuk |
| 2018 | Continuation Methods and Curriculum Learning for Learning to Rank. Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2018 | Contrasting Search as a Learning Activity with Instructor-designed Learning. Felipe Moraes, Sindunuraga Rikarno Putra, Claudia Hauff |
| 2018 | Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang |
| 2018 | Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading. Smit Marvaniya, Swarnadeep Saha, Tejas I. Dhamecha, Peter W. Foltz, Renuka Sindhgatta, Bikram Sengupta |
| 2018 | Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao |
| 2018 | CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text. Michael Loster, Felix Naumann, Jan Ehmueller, Benjamin Feldmann |
| 2018 | DEVES: Interactive Signal Analytics for Drug Safety. Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De |
| 2018 | Data Structure for Efficient Line of Sight Queries. Swapnil Gaikwad, Melody Moh, David C. Anastasiu |
| 2018 | Dataless Text Classification: A Topic Modeling Approach with Document Manifold. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li |
| 2018 | Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. Fanghua Ye, Chuan Chen, Zibin Zheng |
| 2018 | Deep Graph Embedding for Ranking Optimization in E-commerce. Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou |
| 2018 | Deep Semantic Hashing with Multi-Adversarial Training. Bingning Wang, Kang Liu, Jun Zhao |
| 2018 | DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps. Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich |
| 2018 | DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction. Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla |
| 2018 | Demonstration of GenoMetric Query Language. Stefano Ceri, Arif Canakoglu, Andrea Gulino, Abdulrahman Kaitoua, Marco Masseroli, Luca Nanni, Pietro Pinoli |
| 2018 | Detecting Outliers in Data with Correlated Measures. Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer |
| 2018 | Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir |
| 2018 | Device-Aware Rule Recommendation for the Internet of Things. Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai |
| 2018 | DiVE: Diversifying View Recommendation for Visual Data Exploration. Rischan Mafrur, Mohamed A. Sharaf, Hina A. Khan |
| 2018 | Differentiable Unbiased Online Learning to Rank. Harrie Oosterhuis, Maarten de Rijke |
| 2018 | Disk-based Matrix Completion for Memory Limited Devices. Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu |
| 2018 | Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen |
| 2018 | Distributed Ledger Technology for Document and Workflow Management in Trade and Logistics. Ziyuan Wang, Dain Yap Liffman, Dileban Karunamoorthy, Ermyas Abebe |
| 2018 | Distribution Distance Minimization for Unsupervised User Identity Linkage. Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang |
| 2018 | DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain. Weihong Wang, Jie Xu, Yang Wang, Chen Cai, Fang Chen |
| 2018 | Effective User Interaction for High-Recall Retrieval: Less is More. Haotian Zhang, Mustafa Abualsaud, Nimesh Ghelani, Mark D. Smucker, Gordon V. Cormack, Maura R. Grossman |
| 2018 | Efficient Energy Management in Distributed Web Search. Matteo Catena, Ophir Frieder, Nicola Tonellotto |
| 2018 | Efficient Pipeline Processing of Crowdsourcing Workflows. Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima |
| 2018 | Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint. Pengfei Xu, Jiaheng Lu |
| 2018 | Efficient and Effective Query Expansion for Web Search. Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini |
| 2018 | Efficient and Reliable Estimation of Cell Positions. Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm |
| 2018 | Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li |
| 2018 | Empirical Evidence for Search Effectiveness Models. Alfan Farizki Wicaksono, Alistair Moffat |
| 2018 | Engineering a Simplified 0-Bit Consistent Weighted Sampling. Edward Raff, Jared Sylvester, Charles Nicholas |
| 2018 | Enhanced Network Embeddings via Exploiting Edge Labels. Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena |
| 2018 | Enhancing Graph Kernels via Successive Embeddings. Giannis Nikolentzos, Michalis Vazirgiannis |
| 2018 | Estimating Clickthrough Bias in the Cascade Model. Praveen Chandar, Ben Carterette |
| 2018 | Every Word has its History: Interactive Exploration and Visualization of Word Sense Evolution. Adam Jatowt, Ricardo Campos, Sourav S. Bhowmick, Nina Tahmasebi, Antoine Doucet |
| 2018 | Explicit Preference Elicitation for Task Completion Time. Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia |
| 2018 | Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin |
| 2018 | Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. Huiyuan Chen, Jing Li |
| 2018 | Exploring Diversified Similarity with Kundaha. Lúcio F. D. Santos, Gustavo Blanco, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr., Marcos V. N. Bedo |
| 2018 | Exploring Neural Translation Models for Cross-Lingual Text Similarity. Kazuhiro Seki |
| 2018 | Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search. Takehiro Yamamoto, Yusuke Yamamoto, Sumio Fujita |
| 2018 | Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. Hongzuo Xu, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma |
| 2018 | Extracting Figures and Captions from Scientific Publications. Pengyuan Li, Xiangying Jiang, Hagit Shatkay |
| 2018 | FA + TA <FSA: Flexible Score Aggregation. Paolo Ciaccia, Davide Martinenghi |
| 2018 | FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning. Shuai Yang, Xipeng Shen |
| 2018 | FactCheck: Validating RDF Triples Using Textual Evidence. Zafar Habeeb Syed, Michael Röder, Axel-Cyrille Ngonga Ngomo |
| 2018 | Fairness-Aware Tensor-Based Recommendation. Ziwei Zhu, Xia Hu, James Caverlee |
| 2018 | FastInput: Improving Input Efficiency on Mobile Devices. Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, Ping Li |
| 2018 | Finding a Dense Subgraph with Sparse Cut. Atsushi Miyauchi, Naonori Kakimura |
| 2018 | Fouilla: Navigating DBpedia by Topic. Tanguy Raynaud, Julien Subercaze, Frédérique Laforest |
| 2018 | From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data. Konstantina Bereta, Manolis Koubarakis, Stefan Manegold, George Stamoulis, Begüm Demir |
| 2018 | From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project. Konstantina Bereta, Hervé Caumont, Erwin Goor, Manolis Koubarakis, Despina-Athanasia Pantazi, George Stamoulis, Sam Ubels, Valentijn Venus, Firman Wahyudi |
| 2018 | From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps |
| 2018 | GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks. Dhruv Gupta, Klaus Berberich |
| 2018 | Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem. Xiaoyu Liu, Shunda Pan, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang |
| 2018 | GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos |
| 2018 | HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | HeteroMed: Heterogeneous Information Network for Medical Diagnosis. Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh |
| 2018 | Heterogeneous Graph Neural Networks for Malicious Account Detection. Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song |
| 2018 | Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu |
| 2018 | Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News. Qikai Liu, Xiang Cheng, Sen Su, Shuguang Zhu |
| 2018 | Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi |
| 2018 | Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties. Shreya Rajpal, Aditya G. Parameswaran |
| 2018 | Homepage Augmentation by Predicting Links in Heterogenous Networks. Jianming Lv, Jiajie Zhong, Weihang Chen, Qinzhe Xiao, Zhenguo Yang, Qing Li |
| 2018 | How Consistent is Relevance Feedback in Exploratory Search? Alan Medlar, Dorota Glowacka |
| 2018 | Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction. Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang |
| 2018 | I4TSRS: A System to Assist a Data Engineer in Time-Series Dimensionality Reduction in Industry 4.0 Scenarios. Kevin Villalobos, Borja Diez, Arantza Illarramendi, Alfredo Goñi, José Miguel Blanco |
| 2018 | IM Balanced: Influence Maximization Under Balance Constraints. Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi |
| 2018 | Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai |
| 2018 | Imbalanced Sentiment Classification with Multi-Task Learning. Fangzhao Wu, Chuhan Wu, Junxin Liu |
| 2018 | Impact of Document Representation on Neural Ad hoc Retrieval. Ebrahim Bagheri, Faezeh Ensan, Feras N. Al-Obeidat |
| 2018 | Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent Assistants. Seyyed Hadi Hashemi, Kyle Williams, Ahmed El Kholy, Imed Zitouni, Paul A. Crook |
| 2018 | Implementation Notes for the Soft Cosine Measure. Vít Novotný |
| 2018 | Improve Network Embeddings with Regularization. Yi Zhang, Jianguo Lu, Ofer Shai |
| 2018 | Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. Jasper Linmans, Bob van de Velde, Evangelos Kanoulas |
| 2018 | Improving Low-Rank Matrix Completion with Self-Expressiveness. Minsu Kwon, Han-Gyu Kim, Ho-Jin Choi |
| 2018 | Improving the Efficiency of Inclusion Dependency Detection. Nuhad Shaabani, Christoph Meinel |
| 2018 | In Situ and Context-Aware Target Apps Selection for Unified Mobile Search. Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft |
| 2018 | In-Session Personalization for Talent Search. Sahin Cem Geyik, Vijay Dialani, Meng Meng, Ryan Smith |
| 2018 | Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction. Yingmei Chen, Zhongyu Wei, Xuanjing Huang |
| 2018 | Incremental Techniques for Large-Scale Dynamic Query Processing. Iman Elghandour, Ahmet Kara, Dan Olteanu, Stijn Vansummeren |
| 2018 | Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar |
| 2018 | Inferring Probabilistic Contagion Models Over Networks Using Active Queries. Abhijin Adiga, Vanessa Cedeno-Mieles, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns |
| 2018 | Inferring Trip Occupancies in the Rise of Ride-Hailing Services. Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang |
| 2018 | Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity. Adit Krishnan, Ashish Sharma, Hari Sundaram |
| 2018 | IntentsKB: A Knowledge Base of Entity-Oriented Search Intents. Darío Garigliotti, Krisztian Balog |
| 2018 | Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity. Xiaoli Li, Jun Huan |
| 2018 | Investigating Rumor News Using Agreement-Aware Search. Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han |
| 2018 | JIM: Joint Influence Modeling for Collective Search Behavior. Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai |
| 2018 | Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2018 | K-core Minimization: An Edge Manipulation Approach. Weijie Zhu, Chen Chen, Xiaoyang Wang, Xuemin Lin |
| 2018 | KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao |
| 2018 | Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods. Byungkook Oh, Seungmin Seo, Kyong-Ho Lee |
| 2018 | Knowledge Representation as Linked Data: Tutorial. Joachim Van Herwegen, Pieter Heyvaert, Ruben Taelman, Ben De Meester, Anastasia Dimou |
| 2018 | Label Propagation with Neural Networks. Aditya Pal, Deepayan Chakrabarti |
| 2018 | Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang |
| 2018 | Learning User Preferences and Understanding Calendar Contexts for Event Scheduling. Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang |
| 2018 | Learning to Geolocalise Tweets at a Fine-Grained Level. Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis |
| 2018 | Learning under Feature Drifts in Textual Streams. Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi |
| 2018 | Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu |
| 2018 | Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang |
| 2018 | Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains. Bin Liang, Zhidong Li, Yang Wang, Fang Chen |
| 2018 | Low-Complexity Supervised Rank Fusion Models. André Mourão, João Magalhães |
| 2018 | METIC: Multi-Instance Entity Typing from Corpus. Bo Xu, Zheng Luo, Luyang Huang, Bin Liang, Yanghua Xiao, Deqing Yang, Wei Wang |
| 2018 | MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song, Yutao Zhang |
| 2018 | MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. Petr Sojka, Michal Ruzicka, Vít Novotný |
| 2018 | MM: A new Framework for Multidimensional Evaluation of Search Engines. João R. M. Palotti, Guido Zuccon, Allan Hanbury |
| 2018 | Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu |
| 2018 | Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings. Seyyed Hadi Hashemi, Kyle Williams, Ahmed El Kholy, Imed Zitouni, Paul A. Crook |
| 2018 | Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections. Ian Soboroff |
| 2018 | Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion. Shreshtha Mundra, Sachin Kumar, Manjira Sinha, Sandya Mannarswamy |
| 2018 | Mining (maximal) Span-cores from Temporal Networks. Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo |
| 2018 | Mining Frequent Patterns in Evolving Graphs. Çigdem Aslay, Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Aristides Gionis |
| 2018 | Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search. Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas |
| 2018 | Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui |
| 2018 | Modeling Multi-way Relations with Hypergraph Embedding. Chia-An Yu, Ching-Lun Tai, Tak-Shing Chan, Yi-Hsuan Yang |
| 2018 | Modeling Sequential Online Interactive Behaviors with Temporal Point Process. Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, Hongning Wang |
| 2018 | Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang |
| 2018 | More than Threads: Identifying Related Email Messages. Noa Avigdor-Elgrabli, Roei Gelbhart, Irena Grabovitch-Zuyev, Ariel Raviv |
| 2018 | Multi-Emotion Category Improving Embedding for Sentiment Classification. Shuo Wang, Xiaofeng Meng |
| 2018 | Multi-Source Pointer Network for Product Title Summarization. Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang |
| 2018 | Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler |
| 2018 | Multi-View Group Anomaly Detection. Hongtao Wang, Pan Su, Miao Zhao, Hongmei Wang, Gang Li |
| 2018 | Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges. Jiaheng Lu, Irena Holubová, Bogdan Cautis |
| 2018 | MultiE: Multi-Task Embedding for Knowledge Base Completion. Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He |
| 2018 | Multiperspective Graph-Theoretic Similarity Measure. Dung D. Le, Hady W. Lauw |
| 2018 | Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. Xiaofei Zhu, Khoi Duy Vo, Jiafeng Guo, Jiangwu Long |
| 2018 | Multiple Pairwise Ranking with Implicit Feedback. Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |
| 2018 | Multiresolution Graph Attention Networks for Relevance Matching. Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu |
| 2018 | Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification. Yong Zhuang, Yu-Chin Juan, Guo-Xun Yuan, Chih-Jen Lin |
| 2018 | Neighborhood Voting: A Novel Search Scheme for Hashing. Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | Network-based Receivable Financing. Ilaria Bordino, Francesco Gullo |
| 2018 | Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch |
| 2018 | Neural Collaborative Ranking. Bo Song, Xin Yang, Yi Cao, Congfu Xu |
| 2018 | Neural Relational Topic Models for Scientific Article Analysis. Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu |
| 2018 | Neural Retrieval with Partially Shared Embedding Spaces. Bo Li, Le Jia |
| 2018 | Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions. Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu |
| 2018 | Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata |
| 2018 | On Building Fair and Reusable Test Collections using Bandit Techniques. Ellen M. Voorhees |
| 2018 | On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach. Jing Zhao, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Feng Zhu |
| 2018 | On Real-time Detecting Passenger Flow Anomalies. Bo Tang, Hongyin Tang, Xinzhou Dong, Beihong Jin, Tingjian Ge |
| 2018 | On Rich Clubs of Path-Based Centralities in Networks. Soumya Sarkar, Sanjukta Bhowmick, Animesh Mukherjee |
| 2018 | Online Learning for Non-Stationary A/B Tests. Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin |
| 2018 | Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data. Elem Güzel Kalayci, Guohui Xiao, Vladislav Ryzhikov, Tahir Emre Kalayci, Diego Calvanese |
| 2018 | Open-Schema Event Profiling for Massive News Corpora. Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han |
| 2018 | Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. Yukun Ding, Jinglan Liu, Jinjun Xiong, Meng Jiang, Yiyu Shi |
| 2018 | Optimizing Generalized Linear Models with Billions of Variables. Yanbo Liang, Yongyang Yu, Mingjie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng |
| 2018 | PARL: Let Strangers Speak Out What You Like. Libing Wu, Cong Quan, Chenliang Li, Donghong Ji |
| 2018 | PRRE: Personalized Relation Ranking Embedding for Attributed Networks. Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang |
| 2018 | PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces. Parth Nagarkar, K. Selçuk Candan |
| 2018 | Parallel Hashing Using Representative Points in Hyperoctants. Chaomin Shen, Mixue Yu, Chenxiao Zhao, Yaxin Peng, Guixu Zhang |
| 2018 | Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen |
| 2018 | Point Symmetry-based Deep Clustering. José G. Moreno |
| 2018 | Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu |
| 2018 | PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines. Omar Khattab, Mohammad Hammoud, Omar Shekfeh |
| 2018 | Practical Diversified Recommendations on YouTube with Determinantal Point Processes. Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater |
| 2018 | Predicting Personal Life Events from Streaming Social Content. Maryam Khodabakhsh, Hossein Fani, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2018 | Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu |
| 2018 | Preference-driven Interactive Ranking System for Personalized Decision Support. Caitlin Kuhlman, MaryAnn Van Valkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke A. Rundensteiner, Lane Harrison |
| 2018 | Presentation Ordering Effects On Assessor Agreement. Tadele Tedla Damessie, J. Shane Culpepper, Jaewon Kim, Falk Scholer |
| 2018 | Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX. Daniel Deutch, Yehonatan Ginzberg, Tova Milo |
| 2018 | PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn. Krishnaram Kenthapadi, Thanh T. L. Tran |
| 2018 | Privacy Protection for Flexible Parametric Survival Models. Thông T. Nguyên, Siu Cheung Hui |
| 2018 | Privacy-Preserving Triangle Counting in Large Graphs. Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin |
| 2018 | Probabilistic Causal Analysis of Social Influence. Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti |
| 2018 | Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018 Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang |
| 2018 | Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective. Yunlun Yang, Yu Gong, Xi Chen |
| 2018 | Query Understanding via Entity Attribute Identification. Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi, Mahmood Neshati |
| 2018 | Question Headline Generation for News Articles. Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | REGAL: Representation Learning-based Graph Alignment. Mark Heimann, Haoming Shen, Tara Safavi, Danai Koutra |
| 2018 | RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla |
| 2018 | RIN: Reformulation Inference Network for Context-Aware Query Suggestion. Jyun-Yu Jiang, Wei Wang |
| 2018 | Randomized Bit Vector: Privacy-Preserving Encoding Mechanism. Lin Sun, Lan Zhang, Xiaojun Ye |
| 2018 | Re-evaluating Embedding-Based Knowledge Graph Completion Methods. Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li |
| 2018 | Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study. Khaled Yasser, Mücahid Kutlu, Tamer Elsayed |
| 2018 | Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang |
| 2018 | Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang |
| 2018 | Recommendation Through Mixtures of Heterogeneous Item Relationships. Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2018 | Recommender Systems with Characterized Social Regularization. Tzu-Heng Lin, Chen Gao, Yong Li |
| 2018 | Recommending Serendipitous Items using Transfer Learning. Gaurav Pandey, Denis Kotkov, Alexander Semenov |
| 2018 | Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. Balázs Hidasi, Alexandros Karatzoglou |
| 2018 | Recurrent Spatio-Temporal Point Process for Check-in Time Prediction. Guolei Yang, Ying Cai, Chandan K. Reddy |
| 2018 | Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee |
| 2018 | Relevance Estimation with Multiple Information Sources on Search Engine Result Pages. Junqi Zhang, Yiqun Liu, Shaoping Ma, Qi Tian |
| 2018 | Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley |
| 2018 | Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita |
| 2018 | RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo |
| 2018 | Rumor Detection with Hierarchical Social Attention Network. Han Guo, Juan Cao, Yazi Zhang, Junbo Guo, Jintao Li |
| 2018 | SOURCERY: User Driven Multi-Criteria Source Selection. Edward Abel, John A. Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Nurzety A. Azuan, Suzanne M. Embury |
| 2018 | Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases. Yuhang Zhang, Kee Siong Ng, Tania Churchill, Peter Christen |
| 2018 | Sci-Blogger: A Step Towards Automated Science Journalism. Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma |
| 2018 | Secure Top-k Inner Product Retrieval. Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin |
| 2018 | Semantic Technologies for Data Access and Integration. Diego Calvanese, Guohui Xiao |
| 2018 | Semantically-Enhanced Topic Modeling. Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves |
| 2018 | Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. Fangzhao Wu, Chuhan Wu, Junxin Liu |
| 2018 | Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency. Yuanyuan Xu, Jun Wang, Shuai An, Jinmao Wei, Jianhua Ruan |
| 2018 | Semi-supervised Learning on Graphs with Generative Adversarial Nets. Ming Ding, Jie Tang, Jie Zhang |
| 2018 | Shared Embedding Based Neural Networks for Knowledge Graph Completion. Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | Shifting Information Interactions. Maarten de Rijke |
| 2018 | Short Text Entity Linking with Fine-grained Topics. Lihan Chen, Jiaqing Liang, Chenhao Xie, Yanghua Xiao |
| 2018 | Signed Network Modeling Based on Structural Balance Theory. Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2018 | Single-Setup Privacy Enforcement for Heterogeneous Data Ecosystems. Issac Buenrostro, Abhishek Tiwari, Vasanth Rajamani, Erman Pattuk, Zhixiong Chen |
| 2018 | Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads. Haoyu Zhang, Qin Zhang, Haixu Tang |
| 2018 | Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. Oleksandra Levchenko, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis E. Shasha |
| 2018 | Stochastic Coupon Probing in Social Networks. Shaojie Tang |
| 2018 | Studying Topical Relevance with Evidence-based Crowdsourcing. Oana Inel, Giannis Haralabopoulos, Dan Li, Christophe Van Gysel, Zoltán Szlávik, Elena Simperl, Evangelos Kanoulas, Lora Aroyo |
| 2018 | StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction. Radityo Eko Prasojo, Mouna Kacimi, Werner Nutt |
| 2018 | TED-KISS: A Known-Item Speech Video Search Benchmark. Fan Fang, Bo-Wen Zhang, Xu-Cheng Yin, Haixia Man, Fang Zhou |
| 2018 | TEQUILA: Temporal Question Answering over Knowledge Bases. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, Gerhard Weikum |
| 2018 | TGNet: Learning to Rank Nodes in Temporal Graphs. Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen |
| 2018 | Teaching Artificial Agents to Understand Language by Modelling Reward. Edward Grefenstette |
| 2018 | The Impact of Name-Matching and Blocking on Author Disambiguation. Tobias Backes |
| 2018 | The LambdaLoss Framework for Ranking Metric Optimization. Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2018 | The Range Skyline Query. Theodoros Tzouramanis, Eleftherios Tiakas, Apostolos N. Papadopoulos, Yannis Manolopoulos |
| 2018 | The Title Says It All: A Title Term Weighting Strategy For eCommerce Ranking. Anthony Bell, Prathyusha Senthil Kumar, Daniel Miranda |
| 2018 | Toward Automated Multiparty Privacy Conflict Detection. Haoti Zhong, Anna Cinzia Squicciarini, David J. Miller |
| 2018 | Towards Conversational Search and Recommendation: System Ask, User Respond. Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft |
| 2018 | Towards Deep and Representation Learning for Talent Search at LinkedIn. Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik |
| 2018 | Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets. Jianglei Han, Ka Hian Goh, Aixin Sun, Mohammad Akbari |
| 2018 | Towards Explainable Networked Prediction. Liangyue Li, Hanghang Tong, Huan Liu |
| 2018 | Towards Partition-Aware Lifted Inference. Melisachew Wudage Chekol, Heiner Stuckenschmidt |
| 2018 | Towards Practical Open Knowledge Base Canonicalization. Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, Pengcheng Yin |
| 2018 | Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz |
| 2018 | Towards a Quantum-Inspired Framework for Binary Classification. Prayag Tiwari, Massimo Melucci |
| 2018 | Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories. Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim |
| 2018 | Trustworthy Experimentation Under Telemetry Loss. Jayant Gupchup, Yasaman Hosseinkashi, Pavel A. Dmitriev, Daniel Schneider, Ross Cutler, Andrei Jefremov, Martin Ellis |
| 2018 | Type Prediction Combining Linked Open Data and Social Media. Yaroslav Nechaev, Francesco Corcoglioniti, Claudio Giuliano |
| 2018 | Unbiased Learning to Rank: Theory and Practice. Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft |
| 2018 | Understanding Reading Attention Distribution during Relevance Judgement. Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma |
| 2018 | Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings. François Role, Stanislas Morbieu, Mohamed Nadif |
| 2018 | User Group Analytics: Discovery, Exploration and Visualization. Behrooz Omidvar-Tehrani, Sihem Amer-Yahia |
| 2018 | User Identification with Spatio-Temporal Awareness across Social Networks. Xing Gao, Wenli Ji, Yongjun Li, Yao Deng, Wei Dong |
| 2018 | Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance. Dwaipayan Roy, Debasis Ganguly, Sumit Bhatia, Srikanta Bedathur, Mandar Mitra |
| 2018 | VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems. Yan Li, Tingjian Ge, Cindy X. Chen |
| 2018 | Variational Recurrent Model for Session-based Recommendation. Zhitao Wang, Chengyao Chen, Ke Zhang, Yu Lei, Wenjie Li |
| 2018 | W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking. Tuan-Anh Hoang, Khoi Duy Vo, Wolfgang Nejdl |
| 2018 | Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation. Zhuo Li, Hongwei Wang, Miao Zhao |
| 2018 | Weakly-Supervised Neural Text Classification. Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2018 | Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | Web Table Understanding by Collective Inference. San Kim, Guoliang Li, Jianhua Feng, Kaiyu Li |
| 2018 | Web-based Startup Success Prediction. Boris Sharchilev, Michael Roizner, Andrey Yu. Rumyantsev, Denis Ozornin, Pavel Serdyukov, Maarten de Rijke |
| 2018 | When Optimizer Chooses Table Scans: How to Make Them More Responsive. Lijian Wan, Tingjian Ge |
| 2018 | When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures. Mücahid Kutlu, Tamer Elsayed, Maram Hasanain, Matthew Lease |
| 2018 | Word-Driven and Context-Aware Review Modeling for Recommendation. Qianqian Wang, Si Li, Guang Chen |
| 2018 | X-Rank: Explainable Ranking in Complex Multi-Layered Networks. Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong |
| 2018 | YourDigitalSelf: A Personal Digital Trace Integration Tool. Varvara Kalokyri, Alexander Borgida, Amélie Marian |
| 2018 | Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang |
| 2018 | searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews. Harrisen Scells, Guido Zuccon |
| 2018 | tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data. Evangelos E. Papalexakis, Konstantinos Pelechrinis |
| 2018 | vec2Link: Unifying Heterogeneous Data for Social Link Prediction. Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong |