Relevance feedback and other query modification techniques
Information retrieval
Probabilistic retrieval based on staged logistic regression
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
On relevance weights with little relevance information
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
A logistic regression approach to distributed IR
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Multilingual Information Retrieval Using English and Chinese Queries
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
A Fusion Approach to XML Structured Document Retrieval
Information Retrieval
Probabilistic retrieval, component fusion and blind feedback for XML retrieval
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Component ranking and automatic query refinement for XML retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Combining page scores for XML book retrieval
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
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For INEX 2009 UC Berkeley focused on the Book track and all of our submissions were for that track. We tried a variety of different approaches for our Book Track runs, the TREC2 logistic regression probabilistic model used in previous INEX Book Track submissions as well as various fusion approaches including use of the Okapi BM-25 algorithm. This paper focusses on the approaches used in the various runs submitted, and shows the preliminary results from the book search evaluation.