| 000 -LEADER |
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| fixed length control field |
02187nam a2200265Ia 4500 |
| 001 - CONTROL NUMBER |
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| control field |
77572 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft7083 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251010152104.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190413n 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.9 D45 2019 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Dequito, Chrisanne Jay P. and Sojuaco, Francesca Mae B. |
| 245 #0 - TITLE STATEMENT |
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| Title |
A mobile application using matrix factorization algorithm for travel itenerary recommendation |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Manila: |
| Name of producer, publisher, distributor, manufacturer |
PLM, |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2019 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
Undergraduate Thesis: (BS in Computer Science)- Pamantasan ng Lungsod ng Maynila, 2019. |
| 336 ## - CONTENT TYPE |
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| Content type code |
text |
| Content type term |
text |
| Source |
text |
| 337 ## - MEDIA TYPE |
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| Media type code |
unmediated |
| Media type term |
unmediated |
| Source |
unmediated |
| 338 ## - CARRIER TYPE |
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| Carrier type code |
volume |
| Carrier type term |
volume |
| Source |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Matrix Factorization Algorithm is a recommendation algorithm derived from Collaborative Filtering. It is popularized and used by Netflix to recommend movies based on the behavior of a certain user. The researchers will apply this algorithm in their Mobile Application for Travel Itinerary Recommendation. The algorithm can intelligently predict the chances of a user on whether he will have interest in a place. Along with these predictions, the mobile application filters the locations according to the budget and time of the user before generating itineraries. The Agile Method will be used in this study because of its iterative nature, for easier revision, and because of short development period. The platform that the researchers used is Ionic Framework for developing mobile application and MySQL using PHPMyAdmin for the database. They also used PHP scripting language to apply the Matrix Factorization Algorithm in the mobile application. To further enhance the performance of the mobile application and to optimize the predicted results, Gradient Descent Algorithm is alsoused. The greatest challenge for the researchers was acquiring data for the dataset, since the amount of data affects the accuracy of the results produced by the algorithm. Ratings on a place is also very valuable because it is one of the bases of the recommendation application. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
environmental science |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Institution code [OBSOLETE] |
lcc |
| Item type |
Thesis/Dissertation |
| Source of classification or shelving scheme |
|