A cooccurrence-based thesaurus and two applications to information retrieval
Information Processing and Management: an International Journal
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Accurately interpreting clickthrough data as 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
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Can social bookmarking enhance search in the web?
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Investigating the querying and browsing behavior of advanced search engine users
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A multi-criteria content-based filtering system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Towards better understanding of folksonomic patterns
Proceedings of the eighteenth conference on Hypertext and hypermedia
A probabilistic model for personalized tag prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Tag recommendation based on Bayesian principle
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Dynamically selecting an appropriate context type for personalisation
Proceedings of the sixth ACM conference on Recommender systems
Journal of Web Engineering
Social semantic query expansion
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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Classical query expansion techniques can be roughly divided into two groups: the statistical approach, which consists of the selection of top-ranked terms from relevant sources based on co-occurrence values, and the semantic approach, where candidate terms are chosen based on their meaning. In this paper we present a novel approach, in which the classical cooccurrence matrix is enhanced with metadata retrieved from social bookmarking services in order to overcome its lack of semantic attributes. The implemented system, named Nereau, combines methods from the areas of Information Retrieval and Social Network Analysis: given the original query, our system performs multiple expansions and presents results divided into categories. We use a new approach to web personalization based on user collaboration sharing of information about web documents. Our evaluation results are encouraging and suggest that personalization based on social bookmarking and tagging is a useful addition to web toolset and that the subject is worth further research, in particular with regard to increasing popularity of social and collaborative services in the WWW today.