Patterns of search: analyzing and modeling Web query refinement
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Optimizing search engines using clickthrough data
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Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Information re-retrieval: repeat queries in Yahoo's logs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Context-aware query suggestion by mining click-through and session data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Pervasive Computing
Human-Computer Interaction
Efficient multiple-click models in web search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Proceedings of the 18th international conference on World wide web
Ranking Query Results using Context-Aware Preferences
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Context-aware ranking in web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
SHB 2012: international workshop on smart health and wellbeing
Proceedings of the 21st ACM international conference on Information and knowledge management
Patient-centric, multi-role, and multi-dimension information exploration on online healthcare forums
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Efficient and robust large medical image retrieval in mobile cloud computing environment
Information Sciences: an International Journal
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With the rapid proliferation of the Internet, traditional Information Retrieval (IR) techniques need to address challenges that stem from information overload by filtering web documents and ranking them in an order that can be perceived to be more relevant and credible to the end-user. In the domain of health care, an increasing number of people turn to the Internet for their health and wellness concerns. The results returned by traditional search engines can therefore be overwhelming and, even worse, inaccurate. As a consequence there is a need to design more "intelligent" web services that pre-process and alter information on the user's behalf. Specifically, this paper describes the design of a personalized search engine that utilizes patient data (either stored in user-managed personal health records or in provider-managed electronic medical records) and couples this with a selective crawling of credible medical information to eliminate search results that appear irrelevant to the user (given the user's "health profile") and rank the remaining results in order of relevance based on the health conditions of users performing the searches. Toward this end, a new ranking algorithm that combines a user's search query and the user's health profile is introduced. Finally, comparisons of the search results for users with different health profiles and diverse queries are presented using this architecture.