Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
A novel log-based relevance feedback technique in content-based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
LogCLEF 2009: the CLEF 2009 multilingual logfile analysis track overview
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
A comparison of language identification approaches on short, query-style texts
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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This work describes a variation on the traditional Information Retrieval paradigm, where instead of text documents being indexed according to their content, they are indexed according to the search terms previous users have used in finding them. We determine the effectiveness of this approach by indexing a sample of query logs from the European Library, and describe its usefulness for multilingual searching. In our analysis of the search logs, we determine the language of the past queries automatically, and annotate the search logs accordingly. From this information, we derive matrices to show that a) users tend to persist with the same query language throughout a query session, and b) submit queries in the same language as the interface they have selected.