Enhanced Content-based Filtering using Diverse Collaborative Prediction for Movie Recommendation/

Title
Enhanced Content-based Filtering using Diverse Collaborative Prediction for Movie Recommendation/
Authors
제뉴
Issue Date
2008
Publisher
인하대학교
Abstract
In recommender system, Collaborative filtering or Content-based filtering is one of the most popular methods used to predict items of interest for a user. Each method has their own advantage, though individually they possess several limitations. Collabora
Description
Chapter 1. Introduction = 1 Chapter 2. Related Work = 5 2.1. Collaborative Filtering = 6 2.2. Content-based Filtering = 9 2.3. Diversity = 11 Chapter 3. Diversity-Boosted Movie Recommender System = 13 3.1. System Architecture = 13 3.2. Diverse-item S
URI
http://dspace.inha.ac.kr/handle/10505/20018
Appears in Collections:
College of Engineering(공과대학) > Computer Engineering (컴퓨터공학) > Theses(컴퓨터정보공학 석박사 학위논문)
Files in This Item:
19608.pdfDownload

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse