QUERY RECOMMENDATIONS AND ITS EVALUATION IN WEB INFORMATION RETRIEVAL

ICTACT Journal on Soft Computing ( Volume: 5 , Issue: 3 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff04ad1a000000527c000001000700
Search Engine retrieves significant and essential information from the web based on query terms given by the user. Due to the lack of background knowledge about the information required, shorter length queries posed by the user, the ambiguity of query keywords and dynamic growth of the web, irrelevant and redundant results are also retrieved by the search engine. Query recommendations is an important technique which analyze the real search intent of the user and suggests the alternative queries to be used by the user in future to satisfies their information need. The proposed method recommends and ranks the alternative queries and evaluates the ranking order of the recommendations with the help of the ranking measures Normalized Discounted Cumulative Gain (NDCG) and Coefficient of Variance (CV). These measures identify the relationship between the ranking techniques. The proposed strategies are experimentally evaluated using a real time search engine query log.

Authors

R. Umagandhi1, A.V. Senthil Kumar2
Kongunadu Arts and Science College, India1, Hindustan College of Arts and Science, India2

Keywords

Queries, PrefixSpan, NDCG, CV, Kappa Measure

Published By
ICTACT
Published In
ICTACT Journal on Soft Computing
( Volume: 5 , Issue: 3 )
Date of Publication
April 2015
Pages
991-998

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in