Results 251 to 260 of about 201,081 (282)

Community Collaborative Filtering

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
This paper presents a novel approach from a perspective of considering community structures to collaborative filtering. In our approach, multiple types of information are be explored and exploited, including item content, user demography, use-item ratings, use-item structure and user social information.
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Collaborative Filtering

2011
The interactive tools like blogs, wikis, et cetera, known under the commonly acceptable name Web2.0, led to a new generation of Internet services and applications such as social networks, recommendation systems, reputation systems, et cetera, allowing for public participation in the formation of the content of the Web, and at the same time fueling an ...
Tania Al. Kerkiri, Dimitris Konetas
openaire   +2 more sources

A fast and accurate collaborative filter

2009 IEEE International Conference on Granular Computing, 2009
There are two key issues for collaborative filtering: curse of dimension and long-consuming training. In our proposed algorithm, the curse of dimension problem is resolved by the proposed Reduced-SVD technique effectively and long-consuming training is addressed by Extreme Learning Machine (ELM) which is hundreds of times faster than iterative ...
Wanyu Deng, Qinghua Zheng, Lin Chen 0005
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Collaborative filtering based on significances

Information Sciences, 2012
It seems reasonable to think that there may be some items and some users in a recommender system that could be highly significant in making recommendations. For instance, the recent and much-advertised Apple product may be regarded as more significant compared with an outdated MP3 device (which is still on sale).
Jesús Bobadilla, Antonio Hernando, Fernando Ortega 0001, Abraham Gutiérrez   +3 more
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Effective Filtering for Collaborative Publishing

2005
In little over the last decade the World Wide Web has established itself as a medium of interaction, communication, content delivery, and collaboration, opening doors of opportunity never before available to humanity, and on a scale unprecedented in human history.
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CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems

Knowledge-Based Systems, 2021
Fernando Ortega, Jesus Mayor, Raúl Lara-Cabrera   +2 more
exaly  

Evaluating collaborative filtering recommender systems

ACM Transactions on Information Systems, 2004
Joseph A Konstan
exaly  

Parallel and Distributed Collaborative Filtering

ACM Computing Surveys, 2017
Konstantinos G Margaritis
exaly  

Collaborative Filtering

2022
Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan   +3 more
openaire   +1 more source

Applying artificial immune systems to collaborative filtering for movie recommendation

Advanced Engineering Informatics, 2015
Pei-Chann Chang
exaly