Relevance judgments for assessing recall
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
Relevance ranking for one to three term queries
Information Processing and Management: an International Journal
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Relevance thresholds: a multi-stage predictive model of how users evaluate information
Information Processing and Management: an International Journal
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Click data as implicit relevance feedback in web search
Information Processing and Management: an International Journal
A review of ontology based query expansion
Information Processing and Management: an International Journal
Ontology Based User Profiling in Personalized Information Service Agent
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
A framework of an agent-based personal assistant for internet users
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
A method for user profile adaptation in document retrieval
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Transactions on computational collective intelligence V
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Tuning user profiles based on analyzing dynamic preference in document retrieval systems
Multimedia Tools and Applications
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Modeling users' information interests and needs is one of the most important task in the personalization of information retrieval domain. Search engines' algorithms are constantly improved but they still return a lot of irrelevant documents. For this reason a user is not able to quickly find a document with necessary information. In this paper we propose a user profile that is updated based on novel relevance judgment method. Proposed algorithms are a part of personalization agent system. As performed experimental evaluations have shown, the distance between current user profile and user preferences is decreasing when our algorithm is applied.