Combining weights with fuzziness for intelligent semantic web search
Knowledge-Based Systems
News@hand: A Semantic Web Approach to Recommending News
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
A multilayer ontology-based hybrid recommendation model
AI Communications - Recommender Systems
Ontology-Based Personalised and Context-Aware Recommendations of News Items
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
From MPEG-7 user interaction tools to hanging basket models: bridging the gap
Multimedia Tools and Applications
Personal content management system: A semantic approach
Journal of Visual Communication and Image Representation
Learning and inferencing in user ontology for personalized Semantic Web search
Information Sciences: an International Journal
Using social data as context for making recommendations: an ontology based approach
Proceedings of the 1st Workshop on Context, Information and Ontologies
My personal media entertainer: context-adaptive content recommendation and delivery
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Utilizing social context for providing personalized services to mobile users
EuroSSC'10 Proceedings of the 5th European conference on Smart sensing and context
User modeling-based spatial web personalization
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
A platform for discovering and sharing confidential ballistic crime data
International Journal of Knowledge and Web Intelligence
Ranking semantic relationships between two entities using personalization in context specification
Information Sciences: an International Journal
An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation
International Journal on Semantic Web & Information Systems
An ontology-based personalized target advertisement system on interactive TV
Multimedia Tools and Applications
An approach for selecting seed URLs of focused crawler based on user-interest ontology
Applied Soft Computing
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Personalized content retrieval aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations. It is well known that human preferences are complex, multiple, heterogeneous, changing, even contradictory, and should be understood in context with the user goals and tasks at hand. In this paper, we propose a method to build a dynamic representation of the semantic context of ongoing retrieval tasks, which is used to activate different subsets of user interests at runtime, in a way that out-of-context preferences are discarded. Our approach is based on an ontology-driven representation of the domain of discourse, providing enriched descriptions of the semantics involved in retrieval actions and preferences, and enabling the definition of effective means to relate preferences and context