Experimental comparison of recommender systems

Experimental comparison of recommender systems

Recommender systems seek to predict the rating that a user would give an item, given the data of the past ratings of all users and items and other side information. Traditionally, recommender system methods are split into two broad categories: content-based and collaborative filtering approaches. Ho...

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Bibliographic Details
Main Author: See, Jie Xun
Other Authors: Xavier Bresson
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/76935

Internet

http://hdl.handle.net/10356/76935

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