NDLI: QueryTrans: Finding Similar Queries Based on Query Trace Graph

Content Provider	IEEE Xplore Digital Library
Author	Li, Yanan Wang, Bin Xu, Sheng Li, Peng Li, Jintao
Copyright Year	2009
Abstract	Generating similar queries for a query, named query suggestion, is an important technology for helping search engine users. Since query data is very diverse and sparse, it is still challenging to measure the similarity of each query pair. We propose a novel algorithm called QueryTrans, which can efficiently compute pairwise similarity scores between all queries with respect to the global structure of a query trace graph mined from search engine logs. Compared with previous query suggestion approaches, QueryTrans is robust for different queries and stable for different parameter settings. We also present the performance of QueryTrans on large scale query logs. Experiments on about 100,000 queries show: QueryTrans can efficiently computes almost 10 billion pairwise similarity scores within 15 minutes on a single computer; and its results are significantly better than all 4 recent approaches on query suggestion.
Starting Page	260
Ending Page	263
File Size	422872
Page Count	4
File Format	PDF
ISBN	9780769538013
DOI	10.1109/WI-IAT.2009.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Conferences search engine information retrieval query suggestion Intelligent agent Equations Uniform resource locators Search engines Iterative algorithms Robustness text mining Large-scale systems Artificial intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

QueryTrans: Finding Similar Queries Based on Query Trace Graph

Intelligent query and browsing information retrieval (IQBIR) agent

Related Queries Recommendation Based on User Logs for Chinese Search Engines

Mining Search Engine Query Log for Evaluating Content and Structure of a Web Site

The Research of the Personalization

The Research of the Personalization

Intent based clustering of search engine query log

QRGQR: Query Relevance Graph for Query Recommendation

Users, Queries and Documents: A Unified Representation for Web Mining

QueryTrans: Finding Similar Queries Based on Query Trace Graph

Similar Documents

QueryTrans: Finding Similar Queries Based on Query Trace Graph

Intelligent query and browsing information retrieval (IQBIR) agent

Related Queries Recommendation Based on User Logs for Chinese Search Engines

Mining Search Engine Query Log for Evaluating Content and Structure of a Web Site

The Research of the Personalization

The Research of the Personalization

Intent based clustering of search engine query log

QRGQR: Query Relevance Graph for Query Recommendation

Users, Queries and Documents: A Unified Representation for Web Mining

QueryTrans: Finding Similar Queries Based on Query Trace Graph