Toward a theory of user-based relevance: a call for a new paradigm of inquiry
Journal of the American Society for Information Science - Special issue: relevance research
Evaluating strategies for similarity search on the web
Proceedings of the 11th international conference on World Wide Web
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
How to define searching sessions on web search engines
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Using a graph-based ontological user profile for personalizing search
Proceedings of the 17th ACM conference on Information and knowledge management
A session based personalized search using an ontological user profile
Proceedings of the 2009 ACM symposium on Applied Computing
Towards a graph-based user profile modeling for a session-based personalized search
Knowledge and Information Systems
Inferring document utility via a decision-making based retrieval model
International Journal of Knowledge-based and Intelligent Engineering Systems
A comparison of general vs personalised affective models for the prediction of topical relevance
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Personalizing web search using long term browsing history
Proceedings of the fourth ACM international conference on Web search and data mining
Prioritized aggregation of multiple context dimensions in mobile IR
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
An approach towards dynamic assembling of learning objects
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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It is now widely assumed in personalized information retrieval (IR) area that user interests can provide substantial clues for document relevance estimation. User interests reflect generally the user background and topics of interests. However most of the proposed personalized retrieval models and strategies do not distinguish between short term and long term user interests and make use of the whole search history to improve the search accuracy. In this paper, we study how to learn long term user interests by aggregating concept-based short term ones identified within related search activities. For this purpose, we tackle the problem of session boundary recognition using context-sensitive similarity measures that are able to gauge the changes in the user interest topics with regard to reference ontology. Finally, the search personalization is achieved by re-ranking the search results for a given query using the short term user interest. Our experimental evaluation is carried out using TREC collection and shows that personalization brings significant improvements in retrieval effectiveness. Moreover, we observe that our context-sensitive session boundary recognition method can, to some extent, find a semantic correlation between the query and the user context across the search sessions.