Journal of the American Society for Information Science and Technology
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
Exploiting query history for document ranking in interactive information retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
ACES: a contextual engine for search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Concept set extraction with user session context
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Learning user interests for a session-based personalized search
Proceedings of the second international symposium on Information interaction in context
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
Intent based clustering of search engine query log
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Discovering implicit feedbacks from search engine log files
DS'07 Proceedings of the 10th international conference on Discovery science
Interactive information seeking via selective application of contextual knowledge
Proceedings of the third symposium on Information interaction in context
Personalizing web search using long term browsing history
Proceedings of the fourth ACM international conference on Web search and data mining
Take this personally: pollution attacks on personalized services
SEC'13 Proceedings of the 22nd USENIX conference on Security
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In this poster, we describe a novel session-based search engine, which puts the search in context. The search engine has a number of session-based features including expansion of the current query with user query history and clickthrough data (title and summary of clicked web pages) in the same search session and the session boundary recognition through temporal closeness and probabilistic similarity between query terms. In addition, the search engine visualizes the rank change of web pages as different queries are submitted in the same search session to help the user reformulate the query.