DCU @ CLEF-IP 2009: Exploring Standard IR Techniques on Patent Retrieval

Walid Magdy, Johannes Leveling, Gareth J. F. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the experiments and results for our participation in CLEF-IP 2009, which in newly launched this year. Our work applied standard information retrieval (IR) techniques to patent search. Different experiments tested various methods for the patent retrieval, including query formulation, structured index, weighted fields, filtering, and relevance feedback. Some methods did not show expected good retrieval effectiveness such as blind relevance feedback, other experiments showed acceptable performance. Query formulation was the key task for achieving better retrieval effectiveness, and this was performed through giving some higher weights to the text in certain fields. For the best runs, the retrieval effectiveness is still lower than IR applications for other domains illustrating the fact of the difficulty of patent search. The official results have shown that among fifteen participants we achieved the seventh and the fourth ranks from the mean average precision (MAP) and recall point of view, respectively.
Original languageEnglish
Title of host publicationWorking Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30 - October 2, 2009.
PublisherCEUR Workshop Proceedings (CEUR-WS.org)
Number of pages5
Publication statusPublished - 2009

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