Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Domain-specific search strategies for the effective retrieval of healthcare and shopping information
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Modern Information Retrieval
Automated discovery of search interfaces on the web
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Building bridges for web query classification
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic classification of Web queries using very large unlabeled query logs
ACM Transactions on Information Systems (TOIS)
Combining classifiers to identify online databases
Proceedings of the 16th international conference on World Wide Web
Learning query intent from regularized click graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the VLDB Endowment
Integration of news content into web results
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Survey and evaluation of query intent detection methods
Proceedings of the 2009 workshop on Web Search Click Data
Unsupervised query categorization using automatically-built concept graphs
Proceedings of the 18th international conference on World wide web
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
Towards intent-driven bidterm suggestion
Proceedings of the 18th international conference on World wide web
Sources of evidence for vertical selection
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Adaptation of offline vertical selection predictions in the presence of user feedback
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Enhanced information retrieval using domain-specific recommender models
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Characterizing web content, user interests, and search behavior by reading level and topic
Proceedings of the fifth ACM international conference on Web search and data mining
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In this paper, we propose a new framework for searchable web sites recommendation. Given a query, our system will recommend a list of searchable web sites ranked by relevance, which can be used to complement the web page results and ads from a search engine. We model the conditional probability of a searchable web site being relevant to a given query in term of three main components: the language model of the query, the language model of the content within the web site, and the reputation of the web site searching capability (static rank). The language models for queries and searchable sites are built using information mined from client-side browsing logs. The static rank for each searchable site leverages features extracted from these client-side logs such as number of queries that are submitted to this site, and features extracted from general search engines such as the number of web pages that indexed for this site, number of clicks per query, and the dwell-time that a user spends on the search result page and on the clicked result web pages. We also learn a weight for each kind of feature to optimize the ranking performance. In our experiment, we discover 10.5 thousand searchable sites and use 5 million unique queries, extracted from one week of log data to build and demonstrate the effectiveness of our searchable web site recommendation system.