NDLI: Query-Performance Prediction Using Minimal Relevance Feedback

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Query-Performance Prediction Using Minimal Relevance Feedback

Content Provider	ACM Digital Library
Author	Butman, Olga Kurland, Oren Carmel, David Shtok, Anna
Abstract	There has been much work on devising query-performance prediction approaches that estimate search effectiveness without relevance judgments (i.e., zero feedback). Specifically, post-retrieval predictors analyze the result list of top-retrieved documents. Departing from the zero-feedback approach, in this paper we show that relevance feedback for even very few top ranked documents can be exploited to dramatically improve prediction quality. Specifically, applying state-of-the-art zero-feedback-based predictors to only a very few relevant documents, rather than to the entire result list as originally designed, substantially improves prediction quality. This novel form of prediction is based on quantifying properties of relevant documents that can attest to query performance. We also show that integrating prediction based on relevant documents with zero-feedback-based prediction is highly effective; specifically, with respect to utilizing state-of-the-art direct estimates of retrieval effectiveness when minimal feedback is available.
Starting Page	14
Ending Page	21
Page Count	8
File Format	PDF
ISBN	9781450321075
DOI	10.1145/2499178.2499201
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-09-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Query-performance prediction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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