Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Fuzzy user modeling for information retrieval on the World Wide Web
Knowledge and Information Systems
An Application of Social Filtering to Movie Recommendation
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
Efficient bayesian hierarchical user modeling for recommendation system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Feature-Weighted User Model for Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
Trustworthy knowledge diffusion model based on risk discovery on peer-to-peer networks
Expert Systems with Applications: An International Journal
Consensus-based evaluation framework for distributed information retrieval systems
Knowledge and Information Systems
Contextualized Recommendation Based on Reality Mining From Mobile Subscribers
Cybernetics and Systems
A multiagent approach to obtain open and flexible user models in adaptive learning communities
UM'03 Proceedings of the 9th international conference on User modeling
Reusing ontology mappings for query routing in semantic peer-to-peer environment
Information Sciences: an International Journal
Ontology mapping composition for query transformation on distributed environments
Expert Systems with Applications: An International Journal
Service chain-based business alliance formation in service-oriented architecture
Expert Systems with Applications: An International Journal
Boosting social collaborations based on contextual synchronization: An empirical study
Expert Systems with Applications: An International Journal
Representative reviewers for Internet social media
Expert Systems with Applications: An International Journal
Integrating multiple experts for correction process in interactive recommendation systems
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Expert Systems with Applications: An International Journal
Multimedia Tools and Applications
Emotion-based character clustering for managing story-based contents: a cinemetric analysis
Multimedia Tools and Applications
Preference-based user rating correction process for interactive recommendation systems
Multimedia Tools and Applications
| Hi-index | 12.05 |
Most of recommender systems have serious difficulties on providing relevant services to the ''short-head'' users who have shown intermixed preferential patterns. In this paper, we assume that such users (which are referred to as long-tail users) can play an important role of information sources for improving the performance of recommendation. Attribute reduction-based mining method has been proposed to efficiently select the long-tail user groups. More importantly, the long-tail user groups as domain experts are employed to provide more trustworthy information. To evaluate the proposed framework, we have integrated MovieLens dataset with IMDB, and empirically shown that the long-tail user groups are useful for the recommendation process.