MARC details
000 -LEADER |
fixed length control field |
02253nam a22003133a 4500 |
001 - CONTROL NUMBER |
control field |
UPMIN-00006023628 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
UPMIN |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230117164415.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
221014b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
UPMin |
Modifying agency |
upmin |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG 993.5 2011 |
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
C6 G85 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Guillermo, Miguel Carlo Saludares. |
9 (RLIN) |
1381 |
245 ## - TITLE STATEMENT |
Title |
Context-based global and local trust metric applied on a movie recommender system / |
Statement of responsibility, etc. |
Miguel Carlo Saludares Guillermo. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Date of publication, distribution, etc. |
2011 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
65 leaves. |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2011 |
520 3# - SUMMARY, ETC. |
Summary, etc. |
This study focused on the idea of applying a trust metric and a recommendation engine for a recommendation system. The study resulted in developing a trust metric and a recommendation algorithm that is based on a user's trust network. The system's aim is to propose a trust metric function capable of predicting trust values for a user to be given an idea on how much another user is trustworthy, a recommendation engine that recommends movies to users that are both acceptable and appealing, and being able to integrate and test both by integrating both t a movie information system. The trust metric bases its prediction on the rating behavior of users towards movies in the online Movie Recommender System (oMRS), the movie information system being used, and that certain user's reputation. Having users to rate movies in the oMRS, the most rated genre will be the context used for personalized movie recommendations, and either the global or local trust network, depending n how many other users a certain user trusts, will further provide more personalized movie recommendations. The trust metric and the recommendation engine were implemented using HTML and PHP, integrated to the oMRS, also implemented using HTML and PHP, and both uses MySQL for database usage. |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Movie Recommender System (oMRS) |
9 (RLIN) |
1382 |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Trust metric. |
9 (RLIN) |
1383 |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Trust. |
9 (RLIN) |
1384 |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Reputation. |
9 (RLIN) |
1385 |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Recommender system. |
9 (RLIN) |
1386 |
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Rating system. |
9 (RLIN) |
1387 |
658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
Main curriculum objective |
Undergraduate Thesis |
Curriculum code |
CMSC200, |
Source of term or code |
BSCS |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
a |
Fi |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
a |
UP |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Thesis |