| 000 -LEADER |
|---|
| fixed length control field |
02589nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
FT8893 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251217133828.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251217b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9 A43 D33 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Undergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Enhancement of collaborative filtering algorithm with the use of energy-based approach in dating applications |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
|---|
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
ABSTRACT: The online dating industry is fast evolving, and providing accurate and mutually satisfying matchmarking recommendations has created some challenges. This paper would present an enhanced Energy-based Collaborative Filtering (EBCF) algorithm specific for dating apps, tackling three types of problems predicting mutual interest, understanding dynamic user preferences over time, and the problem of over-recommendations for hyperactive users. Traditional EBCF algorithms are generally biased to a perspective from a single user and thus forget about the reciprocal nature of dating matches. One proposes to combat it with a Bidirectional Energy Scoring mechanism when deciding if an interest is present and by whom. To acknowledge the temporal dynamics in user preferences and give more importance to recent interactions. The researchers introduce a penalty that will reduce the effect of overfitting the model on users who interact the most while at the same time enhancing diversity and inclusively in recommendations. Evaluations of the EBCF algorithm were done on the OkCupid dataset with Mean Squared Error (MSE), Precision, and Recall as metrics. The results evidently show that proposed improvements to matchmaking have resulted in a large increase in accuracy, and Precision improved from 62.29% to 69.59%, with Recall climbing from 67.71% to 94.41% over the baseline approach. Prediction errors are lower and recommendation distribution is balanced showing further improvement in recommendation quality in terms of relevancy and contribution to mutual satisfaction. All of these advances demonstrate that enhanced EBCF has the potential to shift the dating app paradigm through a marked improvement in accuracy and inclusion. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |