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2020 – today
- 2025
[j6]Somdeep Acharyya
, Nargis Pervin:
Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization. Expert Syst. Appl. 263: 125667 (2025)- 2024
- [j5]Sanjay K., Nargis Pervin:
Integration of short and long-term interests: A preference aware session-based recommender. Neurocomputing 583: 127558 (2024) - [i1]Rajaram R, Manoj Bharadhwaj, Vasan VS, Nargis Pervin:
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning. CoRR abs/2401.10484 (2024) - 2022
- [j4]Pratyush Yadav, Nargis Pervin:
Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles. J. Informetrics 16(4): 101336 (2022) - [c15]Davangave Balaji Manmath, Nargis Pervin:
Context Aware POI Recommendation using Bipartite Graph. AMCIS 2022 - [c14]Sanjay Krishnamurthy, Nargis Pervin:
Generalized Representation of Electronic Health Records for Unplanned Hospital Readmission. ECIS 2022 - [c13]Pratyush Yadav, Anju R, Nargis Pervin:
What Do We Know? A Bibliometric Analysis of Current Literature on COVID-19 and its Implications. HICSS 2022: 1-10 - [c12]Pratyush Yadav, Nargis Pervin:
Antecedents of Perceived Fairness and User Trust in Scientific Recommender Systems. PACIS 2022: 89
2010 – 2019
- 2019
- [j3]Divyaa L. R., Nargis Pervin:
Towards generating scalable personalized recommendations: Integrating social trust, social bias, and geo-spatial clustering. Decis. Support Syst. 122 (2019) - [c11]Pratyush Yadav, Nikhila Remala, Nargis Pervin:
RecCite: A Hybrid Approach to Recommend Potential Papers. IEEE BigData 2019: 2956-2964 - 2018
- [c10]Keertana V. Chidambaram, Nargis Pervin:
Effect of Agglomeration in the Restaurant Industry. AMCIS 2018 - [c9]Divyaa L. R., Aniruddha Tamhane, Nargis Pervin:
A Clustering Based Social Matrix Factorization Technique for Personalized Recommender Systems. AMCIS 2018 - [c8]Binil Kuriachan, Nargis Pervin:
ALDA: An Aggregated LDA for Polarity Enhanced Aspect Identification Technique in Mobile App Domain. DESRIST 2018: 187-204 - [c7]Aniruddha Tamhane, Divyaa L. R., Nargis Pervin:
An Entity Based LDA for Generating Sentiment Enhanced Business and Customer Profiles from Online Reviews. HCI (4) 2018: 718-742 - 2015
- [c6]Nargis Pervin, Tuan Quang Phan, Anindya Datta, Hideaki Takeda, Fujio Toriumi:
Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags. HCI (14) 2015: 169-182 - 2014
- [c5]Nargis Pervin, Hideaki Takeda, Fujio Toriumi:
Factors Affecting Retweetability: An Event-Centric Analysis on Twitter. ICIS 2014 - 2013
- [j2]Anindya Datta, Sangaralingam Kajanan, Nargis Pervin:
A Mobile App Search Engine. Mob. Networks Appl. 18(1): 42-59 (2013) - [j1]Nargis Pervin, Fang Fang, Anindya Datta, Kaushik Dutta, Debra E. VanderMeer:
Fast, Scalable, and Context-Sensitive Detection of Trending Topics in Microblog Post Streams. ACM Trans. Manag. Inf. Syst. 3(4): 19:1-19:24 (2013) - [c4]Nargis Pervin, Anindya Datta, Kaushik Dutta:
Towards Generating Recommendations on Large Dynamically Growing Domains. PACIS 2013: 29 - [c3]Rémy Cazabet, Nargis Pervin, Fujio Toriumi, Hideaki Takeda:
Information Diffusion on Twitter: Everyone Has Its Chance, But All Chances Are Not Equal. SITIS 2013: 483-490 - 2012
- [c2]Sangaralingam Kajanan, Nargis Pervin, Narayan Ramasubbu, Anindya Datta, Kaushik Dutta:
Takeoff and Sustained Success of Apps in Hypercompetitive Mobile Platform Ecosystems: An Empirical Analysis. ICIS 2012 - 2011
- [c1]Anindya Datta, Kaushik Dutta, Sangar Kajanan, Nargin Pervin:
Mobilewalla: A Mobile Application Search Engine. MobiCASE 2011: 172-187
Coauthor Index
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