Phrasal translation and query expansion techniques for cross-language information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Information Processing and Management: an International Journal
Query log analysis: social and technological challenges
ACM SIGIR Forum
Introduction to special issue on query log analysis: Technology and ethics
ACM Transactions on the Web (TWEB)
Transforming patents into prior-art queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Automatic query generation for patent search
Proceedings of the 18th ACM conference on Information and knowledge management
Report on the TrebleCLEF query log analysis workshop 2009
ACM SIGIR Forum
Large scale query log analysis of re-finding
Proceedings of the third ACM international conference on Web search and data mining
Sogou Query Log Analysis: A Case Study for Collaborative Recommendation or Personalized IR
IALP '09 Proceedings of the 2009 International Conference on Asian Language Processing
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Query log analysis in the context of information retrieval for children
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Preliminary study into query translation for patent retrieval
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
Exploring structured documents and query formulation techniques for patent retrieval
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
A study on query expansion methods for patent retrieval
Proceedings of the 4th workshop on Patent information retrieval
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In an attempt to improve retrieval systems for the patent domain, significant efforts are invested to assist researchers in formulating better queries, preferably via automated query generation. Current work on query generation in patent retrieval is mostly based on statistical measures without considering whether these terms are the best choice. To learn from actual queries being posed by experts, we analyze query logs from USPTO patent examiners. Results show that US examiners pick the majority of query terms from the claim section, a large fraction of which, in turn, coincide with the subject feature terms which determine the extent of the protection of the patent right. Considering the lessons learned from evaluating existing search logs will help in improving (semi-) automated query generation.