Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic personalization based on Web usage mining
Communications of the ACM
Communications of the ACM
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
User Modelling for News Web Sites with Word Sense Based Techniques
User Modeling and User-Adapted Interaction
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
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
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Learn from web search logs to organize search results
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Predictive user click models based on click-through history
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
EUI: an embedded engine for understanding user intents from mobile devices
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Effective inference of user interests is crucial to personalization. Utilizing the Open Directory Project (ODP) categories is an effective way to infer user interests, which represents user interests in the form of ODP categories, i.e., nouns. In this paper, we build a knowledge base to represent user interests in the form of (noun, verb) pairs. We expect that this approach will enable us to represent user interests more precisely, since verbs clarify the context of nouns. To this end, we develop a verb extraction engine that extends ODP categories with their related verbs. It employs various information sources to automatically identify a set of related verbs for an arbitrary ODP category. Thus, we obtain the extended ODP categories in the form of (noun, verb) pairs that will be utilized for various personalization services. The experimental results show the efficacy of our verb extraction engine.