Search Results - "Recommender systems"

Too Narrow to Help? Unveiling How Recommendation Agents' Specialization Impacts User Choices.

Authors: Baccelloni, Angelo Angelis, Matteo De Ricotta, Francesco et al.

Source: Journal of Interactive Marketing. May2026, Vol. 61 Issue 2, p137-154. 18p.

Adaptive Data Acquisition for Personalized Recommendations with Optimality Guarantees on Short-Form Video Platforms.

Authors: Cao, Junyu Leng, Yan

Source: Management Science (INFORMS). Apr2026, Vol. 72 Issue 4, p3592-3610. 19p.

How Gen AI is Disrupting B2B Buying Decisions.

Authors: Joshi, Amit Buche, Ivy Schwaer, Caroline

Source: Harvard Business Review Digital Articles. 6/12/2026, p1-11. 11p.

Privacy-Preserving Personalized Recommender Systems.

Authors: Fu, Xingyu Chen, Ningyuan Gao, Pin et al.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Jan/Feb2026, Vol. 28 Issue 1, p271-289. 19p.

Too Many or Too Few? Information Cues in Recommender Systems and Consequences for Search and Purchase Behavior.

Authors: Fang, Xing Kim, SunAh Chintagunta, Pradeep K.

Source: Journal of Marketing. Jan2026, Vol. 90 Issue 1, p9-28. 20p.

Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement.

Authors: He, Jiangning Wu, Weikun Zhang, Fan et al.

Source: Information Systems Research (INFORMS). Mar2026, Vol. 37 Issue 1, p479-503. 25p.

Ephemeral State-Dependent Recommendation for Digital Content.

Authors: Shi, Lanfei Liu, Jin Li, Yongjun et al.

Source: Information Systems Research (INFORMS). Dec2025, Vol. 36 Issue 4, p2344-2357. 14p.

Research Spotlights.

Source: Information Systems Research (INFORMS). Sep2025, Vol. 36 Issue 3, piv-xii. 9p.

Online Learning with Sample Selection Bias.

Authors: Singhvi, Divya Singhvi, Somya

Source: Operations Research. Sep/Oct2025, Vol. 73 Issue 5, p2458-2476. 19p.

Optimal Match Recommendations in Two-sided Marketplaces with Endogenous Prices.

Authors: Shi, Peng¹ (AUTHOR) pengshi@usc.edu

Source: Management Science (INFORMS). Sep2025, Vol. 71 Issue 9, p7431-7448. 18p.

Online Algorithms for Matching Platforms with Multichannel Traffic.

Authors: Manshadi, Vahideh Rodilitz, Scott Saban, Daniela et al.

Source: Management Science (INFORMS). Sep2025, Vol. 71 Issue 9, p7674-7691. 18p.

From Credits to Choices: How Creative Team Signals Shape Algorithmic Movie Recommendations and Consumer Discovery.

Authors: Naik, Mahesh¹ Mahesh.naik@nmims.edu

Source: Advances in Consumer Research. May2026, Vol. 3 Issue 5, p107-112. 6p.

Method of personalized educational resource recommendation based on LDA and learner's behavior.

Authors: Lin, Qi He, Shan Deng, Yu

Source: International Journal of Electrical Engineering Education. Apr2026, Vol. 63 Issue 2, p114-121. 8p.

Subject Terms: *Recommender systems, *Online education, *Individualized instruction, *Student engagement

A Sentiment Analysis–Based Recommender System for Online Retail Stores Using Customer Social Media Data.

Authors: Vaziry, Amir¹ amirvaziry7@gmail.com

Source: Digital Transformation & Administration Innovation (DTAI). 2026, Vol. 4 Issue 2, p1-10. 10p.

Consumer satisfaction with new content discovery through algorithmic and human recommendations.

Authors: Moreau, François Viotto, Jordana Wikström, Patrik

Source: Applied Economics Letters. Apr2026, p1-5. 5p.

The Soundtrack of Discovery: Exploring the Impact of Spotify's Recommender System and Algorithm Awareness on Musical Taste Expansion.

Authors: Reusch, Heiko Bomnüter, Udo Ellersdorfer, Annalena

Source: International Journal of Arts Management. Spring2026, Vol. 28 Issue 3, p136-151. 17p.

AI Transparency and User Behavior in Human–AI Collaboration: Evidence from E-Commerce Recommendation Systems.

Authors: Oncioiu, Ionica^1,2 (AUTHOR)

Source: Journal of Theoretical & Applied Electronic Commerce Research. May2026, Vol. 21 Issue 5, p153. 32p.

Dynamic heterogeneous graph convolutional networks for click-through rate prediction in recommender systems.

Authors: Jin, Ying Yang, Yanwu Ma, Baojun

Source: Electronic Commerce Research. Apr2026, Vol. 26 Issue 2, p2211-2240. 30p.

A bidirectional sequential recommender system based on multi-source price factors.

Authors: Guo, Wenhao Tian, Jin Li, Minqiang

Source: Electronic Commerce Research. Apr2026, Vol. 26 Issue 2, p2131-2152. 22p.

Understanding customer loyalty-aware recommender systems in E-commerce: an analytical perspective.

Authors: Esmeli, Ramazan Can, Ali Selcuk Awad, Aya et al.

Source: Electronic Commerce Research. Apr2026, Vol. 26 Issue 2, p1581-1607. 27p.