A Consensus-Driven Group Recommender System-Reference-Cited by-同舟云学术

A Consensus-Driven Group Recommender System

Published:2015-04-01 Issue:8 Volume:30 Page:887-906
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Castro Jorge¹,Quesada Francisco J.²,Palomares Iván³,Martínez Luis²

Affiliation:

1. Department of Computer Science and Artificial Intelligence; University of Granada; 18071 Granada Spain

2. Computer Science Department; University of Jaén; Jaén Spain

3. Built Environment Research Institute; University of Ulster; Londonderry BT52 1SA United Kingdom

Funder

Ministerio de Educación, Cultura y Deporte

European Regional Development Fund

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21730/fullpdf

Reference61 articles.

1. Recommender Systems Handbook

2. O'Connor M Cosley D Konstan JA Riedl J Polylens: a recommender system for groups of users Proc ECSCW'01 2001 199 218

3. McCarthy JF Anagnost TD Musicfx: an arbiter of group preferences for computer supported collaborative workouts Proc 1998 ACM Conf on Computer-Supported Cooperative Work; Seattle, WA, November 14-18 1998

4. McCarthy K Salamó M Coyle L McGinty L Smyth B Nixon P Cats: a synchronous approach to collaborative group recommendation FLAIRS Conf, Melbourne Beach, FL 2006 86 91

5. A mobile 3d-gis hybrid recommender system for tourism;Noguera;Inform Sci,2012

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Associated Probabilities’ Aggregations in Fuzzy Collaborative Filtering Recommender System Prediction;International Journal of Fuzzy Systems;2024-07-23

2. State of art and emerging trends on group recommender system: a comprehensive review;International Journal of Multimedia Information Retrieval;2024-05-02

3. Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations;Systems Research and Behavioral Science;2024-02-14

4. Knowledge graph-based graph neural network models for multi-perspective modeling of group preferences;Electronic Commerce Research;2023-11-18

5. Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations;Cognitive Computation and Systems;2023-11-02