An Improved Collaborative Recommendation System by Integration of Social Tagging Data-Reference-Cited by-同舟云学术

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An Improved Collaborative Recommendation System by Integration of Social Tagging Data

Published:2015 Issue: Volume: Page:119-138
ISSN:2190-5428
Container-title:Lecture Notes in Social Networks
language:
Short-container-title:

Author:

Naseri Sogol,Bahrehmand Arash,Ding Chen

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-14379-8_7

Reference40 articles.

1. Rafeh R, Bahrehmand A (2012) An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems. J Inf Sci 38:205–221

2. Agresti A, Winner L (1997) Evaluating agreement and disagreement among movie reviewers. Chance 10:10–14

3. Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of the ACM conference on computer supported cooperative work, pp 175–186

4. Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst (TOIS) 22:5–53

5. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17:734–749

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

2. Recommender System in Social Networks using Fuzzy Logic;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

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