The Open UniversitySkip to content
 

Exploring combinations of sources for interaction features for document re-ranking

Di Buccio, Emanuelle; Melucci, Massimo and Song, Dawei (2010). Exploring combinations of sources for interaction features for document re-ranking. In: 4th Workshop on Human-Computer Interaction and Information Retrieval (HCIR2010), 22 August 2010, New Brunswick, NJ, USA.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (285Kb) | Preview
URL: http://research.microsoft.com/en-us/um/people/ryen...
Google Scholar: Look up in Google Scholar

Abstract

The behavior of the user when interacting with a result page or the corresponding landing documents is a possible source of evidence that Information Retrieval (IR) systems can ex- ploit to assist the user when searching for information. In- teraction features can be adopted as evidence to model the user behavior, thus making it usable to assist relevance pre- diction. One issue when dealing with interaction features is the selection of the sources from which these features are distilled. Individual users and group of users which perform a similar task or look for information matching the same query are possible sources. This paper will focus on these two sources, particularly investigating group of users searching for the same topic as source for interaction features to be used as an alternative to, or in combination with, indi- vidual users. The objective of this work is to investigate the impact of diverse combinations of these sources on the retrieval effectiveness, specifically when interaction features are used as evidence to support document re-ranking.

Item Type: Conference Item
Copyright Holders: 2010 The Authors
Extra Information: pp.63-66
Keywords: interaction features; implicit relevance feedback
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Related URLs:
Item ID: 35129
Depositing User: Dawei Song
Date Deposited: 01 Nov 2012 11:43
Last Modified: 06 Dec 2016 14:12
URI: http://oro.open.ac.uk/id/eprint/35129
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk