Find-Similar: Similarity Browsing as a Search Tool

Authors

Mark D. Smucker, University of Massachusetts - Amherst
James Allan, University of Massachusetts - Amherst

Publication Date

2006

Abstract

Search systems have for some time provided users with the ability to request documents similar to a given document. Interfaces provide this feature via a link or button for each document in the search results. We call this feature findsimilar or similarity browsing. We examined find-similar as a search tool, like relevance feedback, for improving retrieval performance. Our investigation focused on find-similar’s document-to-document similarity, the reexamination of documents during a search, and the user’s browsing pattern. Find-similar with a query-biased similarity, avoiding the reexamination of documents, and a breadth-like browsing pattern achieved a 23% increase in the arithmetic mean average precision and a 66% increase in the geometric mean average precision over our baseline retrieval. This performance matched that of a more traditionally styled iterative relevance feedback technique.

Comments

This paper was harvested from CiteSeer

Recommended Citation

Smucker, Mark D. and Allan, James, "Find-Similar: Similarity Browsing as a Search Tool" (2006). Computer Science Department Faculty Publication Series. 168.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/168