Adaptive Window Size Selection for Proximity Search

Term proximity has been successfully used in many entity retrieval searches and enhance the quality of the retrieval systems. In general, the goal of entity searches is to retrieve a ranked list of entities in response to a user’s query. The entities could be organisations, products, location, or people. Some of the proximity models that were successful used association discovery in a window of text rather than in a whole document. All current studies have only investigated fixed window sizes; as such, we propose an adaptive window size approach for proximity searches. In this study, we concentrated on a particular type of entity search: expert finding. We used some of the document’s attributes such as document length, average sentence length, and number of candidates in the document to adjust the window size of the document. The results of the experiments indicated that considering the document’s features when determining the window size did have an effect on the effectiveness of retrieval and provided much better results than a range of baseline approaches using fixed window sizes.

Content

Author and article information

Contributors

Fawaz Alarfaj

Conference

Publication date: September 2013

Publication date (Print): September 2013

Pages: 1-2

Affiliations

[0001]School of Computer Science and Electronic Engineering

University of Essex, Colchester, CO4 3SQ, UK

Article

DOI: 10.14236/ewic/FDIA2013.9

SO-VID: c7328c22-40f7-49da-854d-fbace310438b

Copyright statement: © Fawaz Alarfaj. Published by BCS Learning and Development Ltd. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)

Conference acronym: FDIA

Conference number: 5

Conference location: Granada, Spain

Conference date: 3 September 2013

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Future Directions in Information Access (FDIA 2013)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2013.9

Self URI (journal page): https://ewic.bcs.org/

Adaptive Window Size Selection for Proximity Search

Abstract