Workshop on the practical use of recommender systems algorithms & technology
Abstract
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- Workshop on the practical use of recommender systems algorithms & technology
Recommendations
Improving Accuracy of Recommender System by Item Clustering
Recommender System (RS) predicts user's ratings towards items, and then recommends highly-predicted items to user. In recent years, RS has been playing more and more important role in the agent research field. There have been a great deal of researches ...
A New Approach for Recommender System
ICACS '17: Proceedings of the 1st International Conference on Algorithms, Computing and SystemsIn today's e-commerce environment, Collaborative Filtering (CF) is a widely used algorithm for recommender system, which is to identify the users who have similar preferences to the target user, and to predict the preference of the target user according ...
Incorporating user rating credibility in recommender systems
AbstractThere have been many research efforts aimed at improving recommendation accuracy with Collaborative Filtering (CF). Yet there is still a lack of investigation into the integration of CF algorithms with the analysis of users’ rating behaviors. In ...
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Published In
- General Chairs:
- Xavier Amatriain,
- Marc Torrens,
- Program Chairs:
- Paul Resnick,
- Markus Zanker
Sponsors
In-Cooperation
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGecom: Special Interest Group on Economics and Computation
Publisher
Association for Computing Machinery
New York, NY, United States
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