IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Communications of the ACM
Ontology Based Personalized Search
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using ODP metadata to personalize search
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
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Privacy-enhancing personalized web search
Proceedings of the 16th international conference on World Wide Web
Privacy protection in personalized search
ACM SIGIR Forum
Quantify query ambiguity using ODP metadata
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Deep classifier: automatically categorizing search results into large-scale hierarchies
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Identifying document topics using the Wikipedia category network
Web Intelligence and Agent Systems
Preserving user's privacy in web search engines
Computer Communications
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Online anonymity for personalized web services
Proceedings of the 18th ACM conference on Information and knowledge management
Anonymizing user profiles for personalized web search
Proceedings of the 19th international conference on World wide web
A utility-theoretic approach to privacy in online services
Journal of Artificial Intelligence Research
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques
Information Processing and Management: an International Journal
Know your personalization: learning topic level personalization in online services
Proceedings of the 22nd international conference on World Wide Web
Rank-energy selective query forwarding for distributed search systems
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In recent years, personalized web search (PWS) has demonstrated effectiveness in improving the quality of search service on the Internet. Unfortunately, the need for collecting private information in PWS has become a major barrier for its wide proliferation. We study privacy protection in PWS engines which capture personalities in user profiles. We propose a PWS framework called UPS that can generalize profiles in for each query according to user-specified privacy requirements. Two predictive metrics are proposed to evaluate the privacy breach risk and the query utility for hierarchical user profile. We develop two simple but effective generalization algorithms for user profiles allowing for query-level customization using our proposed metrics. We also provide an online prediction mechanism based on query utility for deciding whether to personalize a query in UPS. Extensive experiments demonstrate the efficiency and effectiveness of our framework.