Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Generalized Term Dependence Model in Information Retrieval
A Generalized Term Dependence Model in Information Retrieval
Probabilistic search term weighting - some negative results
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Optimum probability estimation based on expectations
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
The maximum entropy approach and probabilistic IR models
ACM Transactions on Information Systems (TOIS)
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Discriminative models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
The maximum entropy method for analyzing retrieval measures
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Term context models for information retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Applying maximum entropy to known-item email retrieval
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Automatic construction of Chinese stop word list
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Information-theoretic term weighting schemes for document clustering
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Applications, assumptions and properties of the maximum entropy principle are discussed. The maximum entropy principle integrates prior estimates of relevance with the observed distribution of term combinations. The result may be a reordering of the segments of a database, compared to a naive estimate. Numerical examples obtained by solution of the non-linear equations for the dual variables are presented and discussed.* Supported in part by the National Science Foundation under grant IST-8318630.