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Thesis Final Draft1.pdf (536.76 KB)
ETD Abstract Container
Abstract Header
A Sample of Collaborative Filtering Techniques and Evaluation Metrics
Author Info
Squeri, Daniel Stephen
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525806431425122
Abstract Details
Year and Degree
2018, BS, Kent State University, College of Arts and Sciences / Department of Mathematical Sciences.
Abstract
Collaborative Filtering is widely considered to be the most powerful category of large scale recommender systems. Collaborative Filtering uses a matrix of ratings between a multitude of users and items. These ratings represent the likelihood that an item is relevant to the user, however we do not know most of these ratings. The task of Collaborative Filtering algorithms is to fill in these missing ratings as accurately as possible. In this paper, we discuss the main types of Collaborative Filtering techniques along with the various evaluation metrics available to judge these algorithms.
Committee
Mohammad Khan (Advisor)
Subject Headings
Statistics
Keywords
Collaborative Filtering
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Citations
Squeri, D. S. (2018).
A Sample of Collaborative Filtering Techniques and Evaluation Metrics
[Undergraduate thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525806431425122
APA Style (7th edition)
Squeri, Daniel.
A Sample of Collaborative Filtering Techniques and Evaluation Metrics.
2018. Kent State University, Undergraduate thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525806431425122.
MLA Style (8th edition)
Squeri, Daniel. "A Sample of Collaborative Filtering Techniques and Evaluation Metrics." Undergraduate thesis, Kent State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525806431425122
Chicago Manual of Style (17th edition)
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Document number:
ksuhonors1525806431425122
Download Count:
199
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by Kent State University Honors College and OhioLINK.