GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Similarity estimation techniques from rounding algorithms
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Popular music access: the Sony music browser
Journal of the American Society for Information Science and Technology - Music information retrieval
Exploiting concept clusters for content-based information retrieval
Information Sciences—Informatics and Computer Science: An International Journal
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
IEEE Intelligent Systems
Imputation-boosted collaborative filtering using machine learning classifiers
Proceedings of the 2008 ACM symposium on Applied computing
An empirical study on effectiveness of temporal information as implicit ratings
Expert Systems with Applications: An International Journal
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Information Systems
Improving memory-based collaborative filtering via similarity updating and prediction modulation
Information Sciences: an International Journal
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Collaborative filtering with the simple Bayesian classifier
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
A recommender system with interest-drifting
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Coauthorship networks and academic literature recommendation
Electronic Commerce Research and Applications
Information Sciences: an International Journal
Transitive node similarity for link prediction in social networks with positive and negative links
Proceedings of the fourth ACM conference on Recommender systems
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Making the most of TV on the move: My newschannel
Information Sciences: an International Journal
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Enhancing tag-based collaborative filtering via integrated social networking information
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
A method of feature selection and sentiment similarity for Chinese micro-blogs
Journal of Information Science
Hierarchical graph maps for visualization of collaborative recommender systems
Journal of Information Science
| Hi-index | 0.00 |
Recommendation systems manage information overload in order to present personalized content to users based on their interests. One of the most efficient recommendation approaches is collaborative filtering, through which recommendation is based on previously rated data. Collaborative filtering techniques feature impressive solutions for suggesting favourite items to certain users. However, recommendation methods fail to reflect fluctuations in users' behaviour over time. In this article, we propose an adaptive collaborative filtering algorithm which takes time into account when predicting users' behaviour. The transitive relationship from one user to another is considered when computing the similarity of two different users. We predict variations of users' preferences using their profiles. Our experimental results show that the proposed algorithm is more accurate than the classical collaborative filtering technique.