Relevance Feedback and Query Expansion LOCAL METHOD: RELEVANCE FEEDBACK
Relevance Feedback and Query Expansion LOCAL METHOD: RELEVANCE FEEDBACK 6
Relevance Feedback and Query Expansion Local method: Relevance Feedback Relevance feedback Relevance feedback: user feedback on relevance of docs in initial set of results User issues a(short simple query The user marks some results as relevant or non -relevant The system computes a better representation of the information need based on feedback Relevance feedback can go through one or more iterations Idea: it may be difficult to formulate a good query when you dont know the collection well, so iterate
Relevance Feedback and Query Expansion Relevance Feedback ▪ Relevance feedback: user feedback on relevance of docs in initial set of results ▪ User issues a (short, simple) query ▪ The user marks some results as relevant or non-relevant. ▪ The system computes a better representation of the information need based on feedback. ▪ Relevance feedback can go through one or more iterations. ▪ Idea: it may be difficult to formulate a good query when you don’t know the collection well, so iterate Local Method: Relevance Feedback 7
Relevance Feedback and Query Expansion Local method: Relevance Feedback Relevance feedback We will use ad hoc retrieval to refer to regular retrieval without relevance feedback We now look at some examples of relevance feedback that highlight different aspects
Relevance Feedback and Query Expansion Relevance feedback ▪ We will use ad hoc retrieval to refer to regular retrieval without relevance feedback. ▪ We now look at some examples of relevance feedback that highlight different aspects. Local Method: Relevance Feedback 8
Relevance Feedback and Query Expansion Local method: Relevance Feedback Relevance Feedback: Example Image search engine http://nayana.ece.ucsbedu/imsearch/imsearch.html @ New Page 1-Netscape file Edit View Go Bookmarks Tools Window Help 9③⑤ httpinayana.eceucsbeduiv A Home Browsing and Shopping related 607,000 images are indexed and classified in the database Only One keyword is allowed! Search Designed by Baris Sumengen and Shawn Newsam powered by jLAMP2000 ava, Linux, Apache, Msgi, Perl, Windows2000)
Relevance Feedback and Query Expansion Relevance Feedback: Example ▪ Image search engine http://nayana.ece.ucsb.edu/imsearch/imsearch.html Local Method: Relevance Feedback 9
Relevance Feedback and Query Expansion Local method: Relevance Feedback Results for Initial Quel Browse Search Prev Next Random 测 (144473,16458) (144457,252140) (144456,262857 144456,262863) 144457,252134) (144483,265154) 0.0 00 0.0 00 0.0 0.0 00 0.0 00 00 0.0 00 0.0 00 00 0.0 44483.264644 (144483,265153) (144518,257752) (144538,525937) 4456,249611)(14446,250049 0.0 00 0.0 0.0 0.0 00 00 0.0 0.0 00 0.0 0.0
Relevance Feedback and Query Expansion Results for Initial Query Local Method: Relevance Feedback 10