Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic inference and influence diagrams
Operations Research
Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
The potential and actual effectiveness of interactive query expansion
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Maximum likelihood estimation for filtering thresholds
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Multiple query evaluation based on an enhanced genetic algorithm
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
GeoSearcher: location-based ranking of search engine results
Journal of the American Society for Information Science and Technology
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
Situation-Aware Personalized Information Retrieval for Mobile Internet
COMPSAC '03 Proceedings of the 27th Annual International Conference on Computer Software and Applications
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Categorizing web queries according to geographical locality
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Anatomy and Empirical Evaluation of an Adaptive Web-Based Information Filtering System
User Modeling and User-Adapted Interaction
Display time as implicit feedback: understanding task effects
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Incremental profile learning based on a reinforcement method
Proceedings of the 2005 ACM symposium on Applied computing
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Detecting Document Genre for Personalization of Information Retrieval
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to special issue on contextual information retrieval systems
Information Retrieval
User modeling for personalized Web search with self-organizing map: Research Articles
Journal of the American Society for Information Science and Technology
User modeling for personalized Web search with self-organizing map: Research Articles
Journal of the American Society for Information Science and Technology
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
Automatic classification of Web queries using very large unlabeled query logs
ACM Transactions on Information Systems (TOIS)
Context-Aware Query Refinement for Mobile Web Search
SAINT-W '07 Proceedings of the 2007 International Symposium on Applications and the Internet Workshops
Eliciting better information need descriptions from users of information search systems
Information Processing and Management: an International Journal
Using query contexts in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Learning user interests for a session-based personalized search
Proceedings of the second international symposium on Information interaction in context
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
A session based personalized search using an ontological user profile
Proceedings of the 2009 ACM symposium on Applied Computing
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
From uncertain inference to probability of relevance for advanced IR applications
ECIR'03 Proceedings of the 25th European conference on IR research
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It is well known that a query is an approximate representation of the user's information needs since it does not provide a sufficient specification of the attended results. Numerous studies addressed this issue using techniques for better eliciting either document or query representations. More recent studies investigated the use of search context to better understand the user intent, driven by the query, in order to deliver personalized information results. In this article, we propose a personalized information retrieval model that leverages the information relevance by its usefulness to both the query and the user's profile, expressed by his main topics of interest. The model is based on the influence diagram formalism which is an extension of Bayesian networks dedicated to decision problems. This graphical model offers an intuitive way to represent, in the same framework, all the basic information (terms, documents, user interests) surrounding the user's information need and also, quantify their mutual influence on the relevance estimation. Experimental results demonstrate that our model was successful at eliciting user queries according to dynamic changes of the user interests.