NDLI: Fuzzy and Crisp Recursive Profiling of Online Reviewers and Businesses

Content Provider	IEEE Xplore Digital Library
Author	Lingras, P. Triff, M.
Copyright Year	1993
Abstract	Users of online review sites can benefit from knowing the profiles of the businesses, as well as the profiles of reviewers who reviewed the businesses. This paper describes crisp and fuzzy metaclustering techniques to evolve two recursively defined clustering schemes of both businesses and reviewers in parallel using a real-world dataset supplied by yelp.com. The objective is to profile the businesses and reviewers by grouping them based on similar characteristics. The novelty of the proposed approach is in the fact that the representations of both businesses and reviewers change dynamically throughout the metaclustering process. A business is represented by static information obtained from the database and dynamic information obtained from the clustering of reviewers who reviewed the business. Similarly, the reviewer representation augments the static representation from the database with profiles of businesses who are reviewed by these reviewers. The resulting web-based service provides a facility for users to find similar businesses/reviewers based on the category of the business, rating, number of reviews, and number of check-ins. It also provides a succinct profile of a business or reviewer based on these factors so that the users can put the reviews in context. Since an object can belong to multiple clusters in fuzzy metaclustering, it is possible to absorb some of the extreme groups consisting of outliers in one of the mainstream clusters. As a result, the fuzzy metaclustering leads to more uniformly distributed and moderate profiles.
Sponsorship	IEEE Computational Intelligence Society
Starting Page	1242
Ending Page	1258
Page Count	17
File Size	1145084
File Format	PDF
ISSN	10636706
Volume Number	23
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Business Clustering algorithms Heuristic algorithms Databases Context Vectors Rough sets web mining Fuzzy c-means k-means metaclustering profiling
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Control and Systems Engineering Computational Theory and Mathematics

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

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