NDLI: Clustering of web search results using Suffix tree algorithm and avoidance of repetition of same images in search results using L-Point Comparison algorithm

Content Provider	IEEE Xplore Digital Library
Author	Suneetha, M. Fatima, S.S. Pervez, S.M.Z.
Copyright Year	2011
Description	Author affiliation: Dept. of Computer Science and Engg., University College of Engineering, Osmania University, Hyderabad, Andhra Pradesh, India (Fatima, S.S.) \|\| Department of Information Technology, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India (Suneetha, M.) \|\| 4/4B.Tech., Department of Information Technology, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India (Pervez, S.M.Z.)
Abstract	It is a common experience to the web users with the existing search engines like Google, Yahoo, MSN, Ask, e.t.c., that the information related to the entered query returns a long ranked list of results (snippets). It becomes cumbersome to the user to go through each title, snippet and even sometimes link of the search results until relevant results are found to the query. Clustering of search results is a special technique in data mining using which the retrieved results are organized into meaningful groups enlightening the user work. This paper deals with the generalized Suffix tree based clustering approach. The most repeated phrase in the document tags is considered as cluster name. Thus in short, web search results that are fetched from the prevailing web search engines grouped under phrases that contain one or more search keywords. This paper aims at organizing web search results into clusters facilitating quick browsing options to the browser providing an excellent interface to results precisely. Suffix tree clustering produces comparatively more accurate and informative grouped results. A basic problem during image searching in any search engine is Image Repetition. This can be avoided by using the L-Point Comparison algorithm, a specially worked out technique in field of Information Retrieval systems, is also discussed with a practical example.
Starting Page	1041
Ending Page	1046
File Size	1522459
Page Count	6
File Format	PDF
ISBN	9781424479238
e-ISBN	9781424479269
DOI	10.1109/ICETECT.2011.5760272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-23
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	L-point image Comparison (LPC) Shape Cleaning of Document Suffix Tree Based Clustering (STBC) Clustering algorithms Coherent clustering Search engines Shared phrase Data mining Pixel Web search Engines
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