An evaluation of automatic query expansion in an online library catalogue
Journal of Documentation
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Personalized, interactive news on the Web
Multimedia Systems
ExpansionTool: Concept-Based Query Expansion and Construction
Information Retrieval
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
NEWS: bringing semantic web technologies into news agencies
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
TV news story segmentation based on semantic coherence and content similarity
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Exploring the corporate ecosystem with a semi-supervised entity graph
Proceedings of the 20th ACM international conference on Information and knowledge management
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There is a need for personalised news video retrieval due to the explosion of news materials available through broadcast and other channels. In this work we introduce a semantic based user modeling technique to capture the users' evolving information needs. Our approach exploits the Linked Open Data Cloud to capture and organise users' interests. The organised interests are used to retrieve and recommend news stories to users. The system monitors user interaction with its interface and uses this information for capturing their evolving interests in the news. New relevant materials are fetched and presented to the user based on their interests. A user-centred evaluation was conducted and the results show the promise of our approach.