Please use this identifier to cite or link to this item:
Title: Data analysis for recommender systems
Authors: Bai, Yuxin
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Abstract: With the growing amount of information online, recommender systems are used widely as a strategic approach to address the issue of information overload. They are present in our everyday lives. Recommender systems help us in easing our decision-making process. They make recommendations based on our preferences. Research have been conducted in this area, they cover different industries and topics. However, we often wonder how well the authors understand about the research problem through analyzing the datasets used in the experiments. The purpose of this FYP is to study about the researchers’ understanding of the data that they used in conducting their experiments. This study is conducted by surveying relevant research papers in this area.
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_data analysis for recommender systems .pdf
  Restricted Access
590.55 kBAdobe PDFView/Open

Page view(s)

Updated on Jun 24, 2024

Download(s) 50

Updated on Jun 24, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.