Nargis Pervin - RankMe

24 papers C 2Journal 10Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Personalized learning path generation using large language models and sequential recommendations. Data Knowl. Eng. Prasad Deshmukh, Harshit Samrat, Nargis Pervin
2025	J	`jnl`	CredBERT: Credibility-aware BERT model for fake news detection. Data Knowl. Eng. Anju R, Nargis Pervin
2025	J	`jnl`	Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization. Expert Syst. Appl. Somdeep Acharyya, Nargis Pervin
2025	J	`jnl`	Knowledge-based Context-aware Group Recommender System for Point of Interest recommendation. Decis. Support Syst. Nargis Pervin, Abhishek Kulkarni, Ayush Adarsh, Shreya Som
2024	J	`jnl`	Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning. CoRR Rajaram R, Manoj Bharadhwaj, Vasan VS, Nargis Pervin
2024	J	`jnl`	Integration of short and long-term interests: A preference aware session-based recommender. Neurocomputing Sanjay K., Nargis Pervin
2022	—	`conf`	Antecedents of Perceived Fairness and User Trust in Scientific Recommender Systems. PACIS Pratyush Yadav, Nargis Pervin
2022	—	`conf`	Context Aware POI Recommendation using Bipartite Graph. AMCIS Davangave Balaji Manmath, Nargis Pervin
2022	—	`conf`	Generalized Representation of Electronic Health Records for Unplanned Hospital Readmission. ECIS Sanjay Krishnamurthy, Nargis Pervin
2022	J	`jnl`	Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles. J. Informetrics Pratyush Yadav, Nargis Pervin
2022	—	`conf`	What Do We Know? A Bibliometric Analysis of Current Literature on COVID-19 and its Implications. HICSS Pratyush Yadav, Anju R, Nargis Pervin
2019	—	`conf`	RecCite: A Hybrid Approach to Recommend Potential Papers. IEEE BigData Pratyush Yadav, Nikhila Remala, Nargis Pervin
2019	J	`jnl`	Towards generating scalable personalized recommendations: Integrating social trust, social bias, and geo-spatial clustering. Decis. Support Syst. Divyaa L. R., Nargis Pervin
2018	—	`conf`	A Clustering Based Social Matrix Factorization Technique for Personalized Recommender Systems. AMCIS Divyaa L. R., Aniruddha Tamhane, Nargis Pervin
2018	—	`conf`	ALDA: An Aggregated LDA for Polarity Enhanced Aspect Identification Technique in Mobile App Domain. DESRIST Binil Kuriachan, Nargis Pervin
2018	—	`conf`	An Entity Based LDA for Generating Sentiment Enhanced Business and Customer Profiles from Online Reviews. HCI (4) Aniruddha Tamhane, Divyaa L. R., Nargis Pervin
2018	—	`conf`	Effect of Agglomeration in the Restaurant Industry. AMCIS Keertana V. Chidambaram, Nargis Pervin
2015	—	`conf`	Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags. HCI (14) Nargis Pervin, Tuan Quang Phan, Anindya Datta, Hideaki Takeda, Fujio Toriumi
2014	C	`conf`	Factors Affecting Retweetability: An Event-Centric Analysis on Twitter. ICIS Nargis Pervin, Hideaki Takeda, Fujio Toriumi
2013	J	`jnl`	A Mobile App Search Engine. Mob. Networks Appl. Anindya Datta, Sangaralingam Kajanan, Nargis Pervin
2013	J	`jnl`	Fast, Scalable, and Context-Sensitive Detection of Trending Topics in Microblog Post Streams. ACM Trans. Manag. Inf. Syst. Nargis Pervin, Fang Fang, Anindya Datta, Kaushik Dutta, Debra E. VanderMeer
2013	—	`conf`	Information Diffusion on Twitter: Everyone Has Its Chance, But All Chances Are Not Equal. SITIS Rémy Cazabet, Nargis Pervin, Fujio Toriumi, Hideaki Takeda
2013	—	`conf`	Towards Generating Recommendations on Large Dynamically Growing Domains. PACIS Nargis Pervin, Anindya Datta, Kaushik Dutta
2012	C	`conf`	Takeoff and Sustained Success of Apps in Hypercompetitive Mobile Platform Ecosystems: An Empirical Analysis. ICIS Sangaralingam Kajanan, Nargis Pervin, Narayan Ramasubbu, Anindya Datta, Kaushik Dutta