Item-based collaborative filtering technique for movie recommender based on user preference

With the advent of web 2.0, most of the people start using internet to do the thing for example purchase product through online, online booking stuff and we can say that with internet, it bring convenient to our living. Although internet bring so much convenient for us but there are some problem occ...

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Bibliographic Details
Main Author:	Wong, Wai Leong
Format:	Undergraduates Project Papers
Language:	English
Published:	2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/27177/ http://umpir.ump.edu.my/id/eprint/27177/ http://umpir.ump.edu.my/id/eprint/27177/1/Item-based%20collaborative%20filtering%20technique%20for%20movie%20recommender%20based%20on%20user.pdf

id	ump-27177
recordtype	eprints
spelling	ump-271772019-12-31T08:43:17Z http://umpir.ump.edu.my/id/eprint/27177/ Item-based collaborative filtering technique for movie recommender based on user preference Wong, Wai Leong QA76 Computer software With the advent of web 2.0, most of the people start using internet to do the thing for example purchase product through online, online booking stuff and we can say that with internet, it bring convenient to our living. Although internet bring so much convenient for us but there are some problem occur when there are too many choices can be choose on internet. This problem will caused dilemma happened on user. Besides, with the help of the recommender system, user can noticed and enjoyed the movie according to their preference and time consuming while searching the movie will be reduced. Therefore, item-based collaborative filtering technique is apply on online movie in order to analyses the relationship between user and movie based on the rating and tagging provided by user. Item-based collaborative filtering technique is suitable used in movie recommender while generate recommendation to user because it calculate the similarity between movie and movie. The proposed schema will be implement in python language on Anaconda and result will be evaluated in the end of research. The final result of this research is top-10 movies will be generated for user based on the highest rating provided by the previous user. For new user, he/she can enter the type of the movie they may like in the column. After that, another top-10 movies list will be generated for the new user based on the specific preference of the particular user. 2018-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27177/1/Item-based%20collaborative%20filtering%20technique%20for%20movie%20recommender%20based%20on%20user.pdf Wong, Wai Leong (2018) Item-based collaborative filtering technique for movie recommender based on user preference. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Wong, Wai Leong Item-based collaborative filtering technique for movie recommender based on user preference
description	With the advent of web 2.0, most of the people start using internet to do the thing for example purchase product through online, online booking stuff and we can say that with internet, it bring convenient to our living. Although internet bring so much convenient for us but there are some problem occur when there are too many choices can be choose on internet. This problem will caused dilemma happened on user. Besides, with the help of the recommender system, user can noticed and enjoyed the movie according to their preference and time consuming while searching the movie will be reduced. Therefore, item-based collaborative filtering technique is apply on online movie in order to analyses the relationship between user and movie based on the rating and tagging provided by user. Item-based collaborative filtering technique is suitable used in movie recommender while generate recommendation to user because it calculate the similarity between movie and movie. The proposed schema will be implement in python language on Anaconda and result will be evaluated in the end of research. The final result of this research is top-10 movies will be generated for user based on the highest rating provided by the previous user. For new user, he/she can enter the type of the movie they may like in the column. After that, another top-10 movies list will be generated for the new user based on the specific preference of the particular user.
format	Undergraduates Project Papers
author	Wong, Wai Leong
author_facet	Wong, Wai Leong
author_sort	Wong, Wai Leong
title	Item-based collaborative filtering technique for movie recommender based on user preference
title_short	Item-based collaborative filtering technique for movie recommender based on user preference
title_full	Item-based collaborative filtering technique for movie recommender based on user preference
title_fullStr	Item-based collaborative filtering technique for movie recommender based on user preference
title_full_unstemmed	Item-based collaborative filtering technique for movie recommender based on user preference
title_sort	item-based collaborative filtering technique for movie recommender based on user preference
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/27177/ http://umpir.ump.edu.my/id/eprint/27177/ http://umpir.ump.edu.my/id/eprint/27177/1/Item-based%20collaborative%20filtering%20technique%20for%20movie%20recommender%20based%20on%20user.pdf
first_indexed	2023-09-18T22:42:38Z
last_indexed	2023-09-18T22:42:38Z
_version_	1777417017005965312

Item-based collaborative filtering technique for movie recommender based on user preference

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