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ucin1186165016.pdf (1.38 MB)
ETD Abstract Container
Abstract Header
A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS
Author Info
NARAYANASWAMY, SHRIRAM
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016
Abstract Details
Year and Degree
2007, MS, University of Cincinnati, Engineering : Computer Science.
Abstract
In today’s consumer driven world, people are faced with the problem of plenty. Choices abound everywhere, be it in movies, books or music. Recommender systems spare the user the frustration of searching for the proverbial needle in the haystack by offering recommendations based on a user’s personal preferences. In this thesis, a generic framework and algorithms for building concept-based recommender systems are presented. A concept-based approach leverages the deep structure of a rating-database and reveals complex, higher level inter-relationships between entities in the data. The algorithms encode user preferences from a ratings database into concepts using collaborative filtering, organize concepts into lattices efficiently, and enable fast querying of the lattices for recommendations. We apply our algorithms on two real-world datasets and demonstrate their capabilities in generating quality recommendations in real-time.
Committee
Dr. Raj Bhatnagar (Advisor)
Pages
87 p.
Subject Headings
Computer Science
Keywords
collaborative filtering, recommender systems
;
lattice, concept, algorithm, Jester, Movielens
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Citations
NARAYANASWAMY, S. (2007).
A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016
APA Style (7th edition)
NARAYANASWAMY, SHRIRAM.
A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS.
2007. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016.
MLA Style (8th edition)
NARAYANASWAMY, SHRIRAM. "A CONCEPT-BASED FRAMEWORK AND ALGORITHMS FOR RECOMMENDER SYSTEMS." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186165016
Chicago Manual of Style (17th edition)
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Document number:
ucin1186165016
Download Count:
773
Copyright Info
© 2007, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.