NDLI: Discovering semantic associations from web search interactions

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Discovering semantic associations from web search interactions

Content Provider	ACM Digital Library
Author	Caon, Glyn Truran, Mark Antunovic, Michael Ashman, Helen
Abstract	Semantic associations take many forms, sometimes being explicit as in visible links and at other times being implicit, not visible but nevertheless clear to the human reader. Some implicit semantic associations might be calculable as the result of a computation but in some cases it is difficult for a computation to capture the purpose of a semantic association, for example, the semantic similarities embodied by synonyms and similar word/phrase likenesses are not easily specified in a general rule. It is possible however to capture semantic associations made by human searchers. Searchers interact with search results by clicking on one or more resources in a set of results, and this interaction takes two forms: the first being an implicit indication of the relevance of the search term to the chosen resource, and the second being an implicit indication of the mutual relevance of any two or more resources selected from the same search. Both have been proposed as a similarity measure for clustering of resources. In this paper we implement, evaluate and compare three methods for semantic association discovery, mined from Web search logs. The first method is based purely on query analysis, the second is single click-based, and the third is coselection-based. The methods are compared for their effectiveness at detecting semantic similarities.
Starting Page	202
Ending Page	207
Page Count	6
File Format	PDF
ISBN	9781450319676
DOI	10.1145/2481492.2481517
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-05-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Semantic association Query analysis Coselection Clickthrough
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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