Bracha Shapira

214 papers A* 9A 33B 6C 2Misc 4Journal 107Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Blunder prediction in chess. Appl. Intell. Yarden Rokach, Bracha Shapira
2026	—	`conf`	DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. EACL (Findings) Seffi Cohen, Nurit Cohen-Inger, Niv Goldshlager, Bracha Shapira, Lior Rokach
2026	J	`jnl`	EncodeRec: An Embedding Backbone for Recommendation Systems. CoRR Guy Hadad, Neomi Rabaev, Bracha Shapira
2026	A	`conf`	Sequential Recommendation with Generative Intent Prediction Utilizing User Search-Behavior. WSDM Guy Elovici, Bracha Shapira, Haggai Roitman, Yotam Eshel
2025	J	`jnl`	BiasGuard: Guardrailing Fairness in Machine Learning Production Systems. CoRR Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira
2025	J	`jnl`	Calibration and Discrimination Optimization Using Clusters of Learned Representation. CoRR Tomer Lavi, Bracha Shapira, Nadav Rappoport
2025	A	`conf`	Converted Data is All You Need for Causal Optimization of e-Commerce Promotions. CIKM Dmitri Goldenberg, Hugo Manuel Proença, Amit Livne, Felipe Moraes, Javier Albert, Bracha Shapira
2025	J	`jnl`	DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. CoRR Seffi Cohen, Niv Goldshlager, Nurit Cohen-Inger, Bracha Shapira, Lior Rokach
2025	B	`conf`	Data Completion In E-commerce. EDBT Liat Antwarg Friedman, Gal Lavee, Bracha Shapira, Dorin Shmaryahu
2025	A	`conf`	DiFair-LLM: Evaluating Fairness Disparities in LLMs Toward Demographic Groups. ECAI Nurit Cohen-Inger, Roei Zaady, Adir Solomon, Lior Rokach, Bracha Shapira
2025	—	`conf`	Enhancing Data Annotation for Student Models: A Self-Training Approach with Large Language Models. WWW (Companion Volume) Gilad Fuchs, Alexander Nus, Yotam Eshel, Bracha Shapira
2025	J	`jnl`	FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification. CoRR Nurit Cohen-Inger, Lior Rokach, Bracha Shapira, Seffi Cohen
2025	A*	`conf`	Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. EMNLP Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen
2025	J	`jnl`	Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. CoRR Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen
2025	A*	`conf`	Graph Meets LLM for Review Personalization based on User Votes. WWW Sharon Hirsch, Lilach Zitnitski, Slava Novgorodov, Ido Guy, Bracha Shapira
2025	—	`conf`	Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining. ECML/PKDD (8) Eyal Mazuz, Gilad Fuchs, Alexander Nus, Lior Rokach, Bracha Shapira
2025	A	`conf`	Large Scale E-Commerce Model for Learning and Analyzing Long-Term User Preferences. RecSys Yonatan Hadar, Yotam Eshel, Tal Franji, Bracha Shapira, Michelle Hwang, Guy Feigenblat
2025	J	`jnl`	SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values. CoRR Tomer D. Meirman, Bracha Shapira, Noa Dagan, Lior Rokach
2025	J	`jnl`	What is in a title? Characterizing product titles in e-commerce. Expert Syst. Appl. Sharon Hirsch, Ido Guy, Slava Novgorodov, Gal Lavee, Bracha Shapira
2025	A*	`conf`	X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. SIGIR Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
2025	J	`jnl`	X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. CoRR Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
2024	A	`conf`	Creating an Intelligent Social Media Campaign Decision-Support Method. UMAP Amir Gabay, Adir Solomon, Ido Guy, Bracha Shapira
2024	J	`jnl`	Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model. Briefings Bioinform. Adi Jabarin, Guy Shtar, Valeria Feinshtein, Eyal Mazuz, Bracha Shapira, Shimon Ben-Shabat, Lior Rokach
2024	A	`conf`	FairUS - UpSampling Optimized Method for Boosting Fairness. ECAI Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira
2024	A	`conf`	RecTemp: Temporal Reasoning in Recommendation Systems. RecSys Adir Solomon, Tsvi Kuflik, Bracha Shapira, Ido Guy
2023	J	`jnl`	AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. CoRR Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Boosting anomaly detection using unsupervised diverse test-time augmentation. Inf. Sci. Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Context aware Markov chains models. Knowl. Based Syst. Ariel Bar, Bracha Shapira, Lior Rokach
2023	J	`jnl`	DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. IEEE Trans. Intell. Transp. Syst. Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach
2023	J	`jnl`	Pretrained transformer models for predicting the withdrawal of drugs from the market. Bioinform. Eyal Mazuz, Guy Shtar, Nir Kutsky, Lior Rokach, Bracha Shapira
2023	A	`conf`	Promoting Tail Item Recommendations in E-Commerce. UMAP Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira
2023	J	`jnl`	Shapley-based feature augmentation. Inf. Fusion Liat Antwarg, Chen Galed, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2023	J	`jnl`	TTANAD: Test-Time Augmentation for Network Anomaly Detection. Entropy Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach
2022	J	`jnl`	A deep learning framework for predicting burglaries based on multiple contextual factors. Expert Syst. Appl. Adir Solomon, Mor Kertis, Bracha Shapira, Lior Rokach
2022	A	`conf`	BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last
2022	J	`jnl`	Contextual security awareness: A context-based approach for assessing the security awareness of users. Knowl. Based Syst. Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai
2022	J	`jnl`	Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2022	J	`jnl`	Explainable multimodal machine learning model for classifying pregnancy drug safety. Bioinform. Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin
2022	A	`conf`	Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach
2022	J	`jnl`	Predicting application usage based on latent contextual information. Comput. Commun. Adir Solomon, Bracha Shapira, Lior Rokach
2022	J	`jnl`	Predicting drug characteristics using biomedical text embedding. BMC Bioinform. Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
2022	J	`jnl`	Prioritizing vulnerability patches in large networks. Expert Syst. Appl. Amir Olswang, Tom Gonda, Rami Puzis, Guy Shani, Bracha Shapira, Noam Tractinsky
2022	A*	`conf`	Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach
2022	A	`ed.`	RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022 RecSys Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge
2022	—	`book`	Recommender Systems Handbook Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2022	—	`ch.`	Recommender Systems: Techniques, Applications, and Challenges. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2022	—	`conf`	Transfer Learning for Time Series Classification Using Synthetic Data Generation. CSCML Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2022	J	`jnl`	Transfer learning for time series classification using synthetic data generation. CoRR Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira
2021	J	`jnl`	Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach
2021	A	`conf`	BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach
2021	J	`jnl`	Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation. CoRR Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira
2021	J	`jnl`	Explaining anomalies detected by autoencoders using Shapley Additive Explanations. Expert Syst. Appl. Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach
2021	J	`jnl`	Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. Inf. Sci. Itay Gabbay, Bracha Shapira, Lior Rokach
2021	Misc	`conf`	The next best question: a lazy, anytime framework for adaptive feature acquisition. SAC Sagy Tuval, Bracha Shapira
2020	J	`jnl`	A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. CoRR Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach
2020	J	`jnl`	Automatic Machine Learning Derived from Scholarly Big Data. CoRR Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2020	A	`conf`	Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. CIKM Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Evolving Context-Aware Recommender Systems With Users in Mind. CoRR Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach
2020	J	`jnl`	Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach
2020	—	`conf`	Post-hoc Explanations for Complex Model Recommendations using Simple Methods. IntRS@RecSys Dorin Shmaryahu, Guy Shani, Bracha Shapira
2020	A*	`conf`	Product Bundle Identification using Semi-Supervised Learning. SIGIR Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
2020	J	`jnl`	Sequence Preserving Network Traffic Generation. CoRR Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira
2020	—	`conf`	Using Bandits for Effective Database Activity Monitoring. PAKDD (2) Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2019	J	`jnl`	A difficulty ranking approach to personalization in E-learning. CoRR Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira
2019	J	`jnl`	A difficulty ranking approach to personalization in E-learning. Int. J. Hum. Comput. Stud. Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira
2019	A	`conf`	Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. UMAP Shir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom
2019	J	`jnl`	Assessing the Quality of Scientific Papers. CoRR Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Attack Graph Obfuscation. CoRR Rami Puzis, Hadar Polad, Bracha Shapira
2019	A	`conf`	AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein
2019	J	`jnl`	Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR Victor Makarenkov, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. Victor Makarenkov, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR Guy Shtar, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks Guy Shtar, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. CoRR Guy Shtar, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Diversifying Database Activity Monitoring with Bandits. CoRR Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR Liat Antwarg, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
2019	J	`jnl`	Implicit dimension identification in user-generated text with LSTM networks. Inf. Process. Manag. Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
2019	C	`conf`	NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports. ISI Lior Perry, Bracha Shapira, Rami Puzis
2019	J	`jnl`	New Item Consumption Prediction Using Deep Learning. CoRR Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira
2019	J	`jnl`	Online Budgeted Learning for Classifier Induction. CoRR Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky
2019	J	`jnl`	Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR Saar Tal, Bracha Shapira, Lior Rokach
2018	A	`conf`	A Hybrid Approach for Automatic Model Recommendation. CIKM Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach
2018	—	`conf`	Analysis of Attack Graph Representations for Ranking Vulnerability Fixes. GCAI Tom Gonda, Tal Pascal, Rami Puzis, Guy Shani, Bracha Shapira
2018	A	`conf`	DLRS 2018: third workshop on deep learning for recommender systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	—	`conf`	Evaluation of a Design Method for Graph Database. BPMDS/EMMSAD@CAiSE Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
2018	J	`jnl`	From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). Dagstuhl Manifestos Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
2018	A*	`conf`	From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website. SIGIR Ido Guy, Bracha Shapira
2018	A	`conf`	Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira
2018	J	`jnl`	Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne
2018	A	`conf`	Predict Demographic Information Using Word2vec on Spatial Trajectories. UMAP Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, Lior Rokach
2018	—	`ed.`	Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018 DLRS Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	—	`conf`	Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection. PADG@ESORICS Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira
2018	—	`ch.`	Social Search. Social Information Access Peter Brusilovsky, Barry Smyth, Bracha Shapira
2018	J	`jnl`	The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
2018	—	`conf`	Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. PAKDD (3) Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
2018	J	`jnl`	Wikibook-Bot - Automatic Generation of a Wikipedia Book. CoRR Shahar Admati, Lior Rokach, Bracha Shapira
2017	J	`jnl`	Anomaly detection for smartphone data streams. Pervasive Mob. Comput. Yisroel Mirsky, Asaf Shabtai, Bracha Shapira, Yuval Elovici, Lior Rokach
2017	—	`conf`	Attack Graph Obfuscation. CSCML Hadar Polad, Rami Puzis, Bracha Shapira
2017	A	`conf`	DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2017	A	`conf`	Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2017	J	`jnl`	Modeling Graph Database Schema. IT Prof. Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval
2017	J	`jnl`	Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan
2017	—	`ed.`	Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017 DLRS@RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2017	J	`jnl`	Sampling High Throughput Data for Anomaly Detection of Data-Base Activity. CoRR Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Michael Dymshits, Lior Rokach, Bracha Shapira
2017	—	`conf`	Scalable Attack Path Finding for Increased Security. CSCML Tom Gonda, Rami Puzis, Bracha Shapira
2017	A	`conf`	User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira
2016	J	`jnl`	An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. David Ben-Shimon, Lior Rokach, Bracha Shapira
2016	J	`jnl`	Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira
2016	A	`conf`	CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. CIKM Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach
2016	—	`conf`	Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar
2016	—	`conf`	Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	J	`jnl`	Language Models with GloVe Word Embeddings. CoRR Victor Makarenkov, Bracha Shapira, Lior Rokach
2016	—	`ed.`	Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016 DLRS@RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	A	`conf`	RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Recommender systems for product bundling. Knowl. Based Syst. Moran Beladev, Lior Rokach, Bracha Shapira
2016	J	`jnl`	Reducing preference elicitation in group decision making. Expert Syst. Appl. Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2016	—	`conf`	Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger
2016	—	`conf`	SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. AISec@CCS Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici
2016	J	`jnl`	Towards latent context-aware recommendation systems. Knowl. Based Syst. Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach
2016	J	`jnl`	Utilizing transfer learning for in-domain collaborative filtering. Knowl. Based Syst. Edita Grolman, Ariel Bar, Bracha Shapira, Lior Rokach, Aviram Dayan
2015	A	`conf`	"Please, Not Now!": A Model for Timing Recommendations. RecSys Nofar Dali Betzalel, Bracha Shapira, Lior Rokach
2015	J	`jnl`	ConSent: Context-based sentiment analysis. Knowl. Based Syst. Gilad Katz, Nir Ofek, Bracha Shapira
2015	J	`jnl`	Enabling Complex Wikipedia Queries - Technical Report. CoRR Gilad Katz, Bracha Shapira
2015	A*	`conf`	Exploiting Wikipedia for Information Retrieval Tasks. SIGIR Bracha Shapira, Nir Ofek, Victor Makarenkov
2015	—	`conf`	Fast Item-Based Collaborative Filtering. ICAART (2) David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani
2015	—	`conf`	In-House Solution for the RecSys Challenge 2015. RecSys Challenge Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann
2015	—	`conf`	JoKER: Trusted Detection of Kernel Rootkits in Android Devices via JTAG Interface. TrustCom/BigDataSE/ISPA (1) Mordechai Guri, Yuri Poliak, Bracha Shapira, Yuval Elovici
2015	J	`jnl`	JoKER: Trusted Detection of Kernel Rootkits in Android Devices via JTAG Interface. CoRR Mordechai Guri, Yuri Poliak, Bracha Shapira, Yuval Elovici
2015	B	`conf`	Leak Sinks: The Threat of Targeted Social Eavesdropping. ASONAM Yasmin Bokobza, Abigail Paradise, Guy Rapaport, Rami Puzis, Bracha Shapira, Asaf Shabtai
2015	—	`ed.`	Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015 RecSys Challenge David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira
2015	A	`conf`	RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle
2015	—	`book`	Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2015	—	`conf`	Recommender Systems for Product Bundling. RecSys Posters Moran Beladev, Bracha Shapira, Lior Rokach
2015	—	`ch.`	Recommender Systems: Introduction and Challenges. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2015	B	`conf`	Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira
2015	—	`conf`	Sentiment Analysis in Transcribed Utterances. PAKDD (2) Nir Ofek, Gilad Katz, Bracha Shapira, Yedidya Bar-Zev
2015	Misc	`conf`	Theoretical Categorization of Query Performance Predictors. ICTIR Victor Makarenkov, Bracha Shapira, Lior Rokach
2015	—	`conf`	Unknown malware detection using network traffic classification. CNS Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar
2015	—	`conf`	pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. PAKDD (2) Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici
2014	J	`jnl`	CoBAn: A context based model for data leakage prevention. Inf. Sci. Gilad Katz, Yuval Elovici, Bracha Shapira
2014	—	`conf`	Contexto: lessons learned from mobile context inference. UbiComp Adjunct Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira
2014	B	`conf`	EduRank: A Collaborative Filtering Approach to Personalization in E-learning. EDM Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani, Bracha Shapira
2014	J	`jnl`	Mobile malware detection through analysis of deviations in application network behavior. Comput. Secur. Asaf Shabtai, Lena Tenenboim-Chekina, Dudu Mimran, Lior Rokach, Bracha Shapira, Yuval Elovici
2014	A	`conf`	Preference elicitation for narrowing the recommended list for groups. RecSys Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2014	J	`jnl`	Reaching a joint decision with minimal elicitation of voter preferences. Inf. Sci. Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2014	A*	`conf`	Wikipedia-based query performance prediction. SIGIR Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach
2013	J	`jnl`	Content-based data leakage detection using extended fingerprinting CoRR Yuri Shapira, Bracha Shapira, Asaf Shabtai
2013	—	`conf`	Ensemble of Feature Chains for Anomaly Detection. MCS Lena Tenenboim-Chekina, Lior Rokach, Bracha Shapira
2013	J	`jnl`	Exploiting label dependencies for improved sample complexity. Mach. Learn. Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira
2013	—	`conf`	Exploiting simultaneous usage of different wireless interfaces for security and mobility. FGCT Shlomi Dolev, Idan Heimlich Shtacher, Bracha Shapira, Yuval Elovici, Guy Messalem, Dudu Mimran, Marina Kopeetsky
2013	J	`jnl`	Facebook single and cross domain data for recommendation systems. User Model. User Adapt. Interact. Bracha Shapira, Lior Rokach, Shirley Freilikhman
2013	J	`jnl`	Highlighting items as means of adaptive assistance. Behav. Inf. Technol. Liat Antwarg, Talia Lavie, Lior Rokach, Bracha Shapira, Joachim Meyer
2013	—	`conf`	Improving Simple Collaborative Filtering Models Using Ensemble Methods. MCS Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar
2013	J	`jnl`	Investigating confidence displays for top- J. Assoc. Inf. Sci. Technol. Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, Moran Tangi
2013	—	`conf`	MATE: a mobile analysis tool for usability experts. CHI Extended Abstracts Talya Porat, Alon Schclar, Bracha Shapira
2013	B	`conf`	Nesto - Network selection and traffic offloading system for android mobile devices. IWCMC Ariel Bar, Dudu Mimran, Lena Chekina, Yuval Elovici, Bracha Shapira
2013	Misc	`conf`	Recommending insurance riders. SAC Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, Gali Siboni
2013	A	`conf`	Using geospatial metadata to boost collaborative filtering. RecSys Alexander Ostrikov, Lior Rokach, Bracha Shapira
2012	J	`jnl`	Attribute-Driven Hidden Markov Model Trees for Intention Prediction. IEEE Trans. Syst. Man Cybern. Part C Liat Antwarg, Lior Rokach, Bracha Shapira
2012	J	`jnl`	Boosting Simple Collaborative Filtering Models Using Ensemble Methods CoRR Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar
2012	J	`jnl`	Detection of Deviations in Mobile Applications Network Behavior CoRR Lena Chekina, Dudu Mimran, Lior Rokach, Yuval Elovici, Bracha Shapira
2012	B	`conf`	Introducing diversity among the models of multi-label classification ensemble. ESANN Lena Chekina, Lior Rokach, Bracha Shapira
2012	J	`jnl`	Limiting disclosure of sensitive data in sequential releases of databases. Inf. Sci. Erez Shmueli, Tamir Tassa, Raz Wasserstein, Bracha Shapira, Lior Rokach
2012	—	`conf`	Predicting Student Exam's Scores by Analyzing Social Network Data. AMT Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
2012	J	`jnl`	Social Network Based Search for Experts CoRR Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan
2012	A	`conf`	TALMUD: transfer learning for multiple domains. CIKM Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani
2012	J	`jnl`	Using Wikipedia to Boost SVD Recommender Systems CoRR Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach
2011	—	`ch.`	Introduction to Recommender Systems Handbook. Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira
2011	—	`conf`	Meta-learning for Selecting a Multi-label Classification Algorithm. ICDM Workshops Lena Chekina, Lior Rokach, Bracha Shapira
2011	J	`jnl`	Personalized search: Integrating collaboration and social networks. J. Assoc. Inf. Sci. Technol. Bracha Shapira, Boaz Zabar
2011	—	`book`	Recommender Systems Handbook Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor
2011	A	`conf`	Recommenders benchmark framework. RecSys Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel
2011	A	`conf`	Using Wikipedia to boost collaborative filtering techniques. RecSys Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani
2010	J	`jnl`	A Theory-Driven Design Framework for Social Recommender Systems. J. Assoc. Inf. Syst. Ofer Arazy, Nanda Kumar, Bracha Shapira
2010	J	`jnl`	Detection of access to terror-related Web sites using an Advanced Terror Detection System (ATDS). J. Assoc. Inf. Sci. Technol. Yuval Elovici, Bracha Shapira, Mark Last, Omer Zaafrany, Menahem Friedman, Moti Schneider, Abraham Kandel
2010	J	`jnl`	Efficient Multidimensional Suppression for K-Anonymity. IEEE Trans. Knowl. Data Eng. Slava Kisilevich, Lior Rokach, Yuval Elovici, Bracha Shapira
2010	A	`conf`	Iterative voting under uncertainty for group recommender systems. RecSys Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira
2010	J	`jnl`	Ontological content-based filtering for personalised newspapers: A method and its evaluation. Online Inf. Rev. Veronica Maidel, Peretz Shoval, Bracha Shapira, Meirav Taieb-Maimon
2010	—	`conf`	Personalized Knowledge Service Based on Smart Cell-Phone Usage: A Conceptual Framework. AMCIS Meira Levy, Peretz Shoval, Bracha Shapira
2009	J	`jnl`	A decision theoretic approach to combining information filtering. Online Inf. Rev. Alexander Binun, Bracha Shapira, Yuval Elovici
2009	J	`jnl`	Improving Social Recommender Systems. IT Prof. Ofer Arazy, Nanda Kumar, Bracha Shapira
2008	—	`conf`	All the news that's fit to e-ink. CHI Extended Abstracts Ohad Inbar, Noam Ben-Asher, Talya Porat, Dudu Mimran, Bracha Shapira, Peretz Shoval, Joachim Meyer, Noam Tractinsky
2008	A	`conf`	Evaluation of an ontology-content based filtering method for a personalized newspaper. RecSys Veronica Maidel, Peretz Shoval, Bracha Shapira, Meirav Taieb-Maimon
2008	—	`conf`	kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity. ISIPS Slava Kisilevich, Yuval Elovici, Bracha Shapira, Lior Rokach
2007	J	`jnl`	MarCol: A Market-Based Recommender System. IEEE Intell. Syst. I. Dan Melamed, Bracha Shapira, Yuval Elovici
2006	J	`jnl`	A decision theoretic approach to combining information filters: An analytical and empirical evaluation. J. Assoc. Inf. Sci. Technol. Yuval Elovici, Bracha Shapira, Paul B. Kantor
2006	J	`jnl`	Cluster-analysis attack against a PRivAte Web solution (PRAW). Online Inf. Rev. Yuval Elovici, Bracha Shapira, Adlay Meshiach
2006	J	`jnl`	Study of Effectiveness of Implicit Indicators and Their Optimal Combination for Accurate Inference of Users Interests. J. Digit. Inf. Manag. Bracha Shapira, Meirav Taieb-Maimon, Anny Moskowitz
2006	Misc	`conf`	Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests. SAC Bracha Shapira, Meirav Taieb-Maimon, Anny Moskowitz
2005	—	`ch.`	A Content-Based Model for Web-Monitoring. Fighting Terror in Cyberspace Bracha Shapira
2005	C	`conf`	Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS). ISI Yuval Elovici, Bracha Shapira, Mark Last, Omer Zaafrany, Menahem Friedman, Moti Schneider, Abraham Kandel
2005	J	`jnl`	Enhancing customer privacy while searching for products and services on the world wide web. Internet Res. Yuval Elovici, Chanan Glezer, Bracha Shapira
2005	J	`jnl`	PRAW - A PRivAcy model for the Web. J. Assoc. Inf. Sci. Technol. Bracha Shapira, Yuval Elovici, Adlay Meshiach, Tsvi Kuflik
2005	J	`jnl`	Subjective and objective evaluation of interactive and automatic query expansion. Online Inf. Rev. Bracha Shapira, Meirav Taieb-Maimon, Yael Nemeth
2004	A*	`conf`	Evaluation of the real and perceived value of automatic and interactive query expansion. SIGIR Yael Nemeth, Bracha Shapira, Meirav Taieb-Maimon
2004	—	`conf`	Terrorist Detection System. PKDD Yuval Elovici, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, Menahem Friedman
2003	—	`conf`	Content-Based Methodology for Anomaly Detection on the Web. AWIC Mark Last, Bracha Shapira, Yuval Elovici, Omer Zaafrany, Abraham Kandel
2003	—	`conf`	Privacy Preservation Improvement by Learning Optimal Profile Generation Rate. User Modeling Tsvi Kuflik, Bracha Shapira, Yuval Elovici, Adlai Maschiach
2003	J	`jnl`	Stereotype-based Versus Personal-based Filtering Rules in Information Filtering Systems. J. Assoc. Inf. Sci. Technol. Tsvi Kuflik, Bracha Shapira, Peretz Shoval
2003	J	`jnl`	Using the Information Structure Model to Compare Profile-Based Information Filtering Systems. Inf. Retr. Yuval Elovici, Bracha Shapira, Paul B. Kantor
2002	—	`conf`	A New Privacy Model for Web Surfing. NGITS Yuval Elovici, Bracha Shapira, Adlai Maschiach
2002	—	`conf`	A new privacy model for hiding group interests while accessing the Web. WPES Yuval Elovici, Bracha Shapira, Adlai Maschiach
2001	J	`jnl`	Automatic keyword identification by artificial neural networks compared to manual identification by users of filtering systems. Inf. Process. Manag. Zvi Boger, Tsvi Kuflik, Peretz Shoval, Bracha Shapira
2001	J	`jnl`	Information Filtering: Overview of Issues, Research and Systems. User Model. User Adapt. Interact. Uri Hanani, Bracha Shapira, Peretz Shoval
2001	J	`jnl`	The effect of extrinsic motivation on user behavior in a collaborative information finding system. J. Assoc. Inf. Sci. Technol. Bracha Shapira, Paul B. Kantor, Benjamin Melamed
2000	J	`jnl`	Enabling technologies: capturing human intelligence in the Net. Commun. ACM Paul B. Kantor, Endre Boros, Benjamin Melamed, Vladimir Menkov, Bracha Shapira, David J. Neu
2000	—	`conf`	Information Filtering and Automatic Keyword Identification by Artificial Neural Networks. ECIS Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Shoval
1999	J	`jnl`	Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes. Decis. Support Syst. Bracha Shapira, Peretz Shoval, Uri Hanani
1999	—	`conf`	Strategies for Filtering E-mail Messages Combining Content-Based and Sociological Filtering with User-Stereotypes. NGITS Peretz Shoval, Bracha Shapira, Uri Hanani
1997	J	`jnl`	Information Filtering: A New Two-Phase Model Using Stereotypic User Profiling. J. Intell. Inf. Syst. Bracha Shapira, Uri Hanani, Adi Raveh, Peretz Shoval
1997	J	`jnl`	Stereotypes in Information Filtering Systems. Inf. Process. Manag. Bracha Shapira, Peretz Shoval, Uri Hanani
1995	—	`conf`	Hypertext Browsing: A New Model Based on Hypergraph's Dynamic Construction and Data Analysis Methods. NGITS Bracha Shapira, Adi Raveh, Uri Hanani