Selecting Examples for Partial Memory Learning
Machine Learning
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
Usage patterns of collaborative tagging systems
Journal of Information Science
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
A framework for projected clustering of high dimensional data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
A time-based approach to effective recommender systems using implicit feedback
Expert Systems with Applications: An International Journal
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Model bloggers' interests based on forgetting mechanism
Proceedings of the 17th international conference on World Wide Web
Improved recommendation based on collaborative tagging behaviors
Proceedings of the 13th international conference on Intelligent user interfaces
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
IEEE Transactions on Knowledge and Data Engineering
Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Integrating tags in a semantic content-based recommender
Proceedings of the 2008 ACM conference on Recommender systems
kNN CF: a temporal social network
Proceedings of the 2008 ACM conference on Recommender systems
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Recommending scientific articles using citeulike
Proceedings of the 2008 ACM conference on Recommender systems
An empirical study on effectiveness of temporal information as implicit ratings
Expert Systems with Applications: An International Journal
Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Classification-based collaborative filtering using market basket data
Expert Systems with Applications: An International Journal
Context-aware citation recommendation
Proceedings of the 19th international conference on World wide web
Collaborative tagging in recommender systems
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Collaboration-based medical knowledge recommendation
Artificial Intelligence in Medicine
Reorganizing clouds: A study on tag clustering and evaluation
Expert Systems with Applications: An International Journal
Evaluating tag filtering techniques for web resource classification in folksonomies
Expert Systems with Applications: An International Journal
Using latent topics to enhance search and recommendation in Enterprise Social Software
Expert Systems with Applications: An International Journal
An adaptive approach to dealing with unstable behaviour of users in collaborative filtering systems
Journal of Information Science
A social inverted index for social-tagging-based information retrieval
Journal of Information Science
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
Collective intelligence as mechanism of medical diagnosis: The iPixel approach
Expert Systems with Applications: An International Journal
Knowledge-Based Systems
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
Flickr group recommendation based on user-generated tags and social relations via topic model
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Folksonomy-based fuzzy user profiling for improved recommendations
Expert Systems with Applications: An International Journal
A framework for tag-aware recommender systems
Expert Systems with Applications: An International Journal
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
User Modeling and User-Adapted Interaction
| Hi-index | 12.06 |
Recently, social tagging has become increasingly prevalent on the Internet, which provides an effective way for users to organize, manage, share and search for various kinds of resources. These tagging systems offer lots of useful information, such as tag, an expression of user's preference towards a certain resource; time, a denotation of user's interests drift. As information explosion, it is necessary to recommend resources that a user might like. Since collaborative filtering (CF) is aimed to provide personalized services, how to integrate tag and time information in CF to provide better personalized recommendations for social tagging systems becomes a challenging task. In this paper, we investigate the importance and usefulness of tag and time information when predicting users' preference and examine how to exploit such information to build an effective resource-recommendation model. We design a recommender system to realize our computational approach. Also, we show empirically using data from a real-world dataset that tag and time information can well express users' taste and we also show that better performances can be achieved if such information is integrated into CF.