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03644nam a2200301Ia 4500 |
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75552 |
| 003 - CONTROL NUMBER IDENTIFIER |
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FT6093 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20251107085416.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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190114n 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 |
QA76.6 M37 2015 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Martinez, Jonas Mark D. and Torres, Jerome Paulo J. |
| 245 #0 - TITLE STATEMENT |
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| Title |
Enhancement of elo rating algorithm applied in multiplayer game matchmaking |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2015 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Computer Studies major in Computer Science) Pamantasan ng Lungsod ng Maynila,n 2015. |
| 336 ## - CONTENT TYPE |
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. |
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text |
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rdacontent |
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0 |
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. |
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unmediated |
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rdamedia |
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0 |
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. |
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volume |
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rdacarrier |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: This study “Enhancement of the Elo Rating Algorithm Applied in Multiplayer Matchmaking” focusing on the enhancement of the Elo Rating Algorithm, a player rating algorithm that is widely used in competitive gaming environments such as chess, football, and more recently, online video games. This research focuses on three main problems found with the algorithm: 1) Lack of inactivity response, 2) Inability to accommodate team play, 3) Affected by rating inflation. The formulation of an enhancement to the algorithm revolves around three main objectives for the algorithm: 1) Responds to player inactivity, 2) Accomodates team player, and 3) Reduces the rate of inflation. To achieve these objectives, the researchers have conducted surveys with active members of the online gaming community, along with using modern day ranking systems as references for data gathering. Using the GameMaker Studio software from Yoyo Games, the researchers developed a multiplayer game which would simulate a multiplayer game scenario along with a rating calculator with a rating calculator developed with the Netbeans IDE using the Java programming language, this calculator uses the enhanced Elo Rating Algorithm to calculate player’s rating pre and post-game along with allotting penalties for long periods of inactivity, demonstrating its improvement over the existing Elo Rating Algorithm. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
5 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
ABSTRACT: This study Enhancement of the Elo Rating Algorithm Applied in Multiplayer Matchmaking focusing on the enhancement of the Elo Rating Algorithm, a player rating algorithm that is widely used in competitive gaming environments such as chess, football, and more recently, online video games. This research focuses on three main problems found with the algorithm: 1) Lack of inactivity response, 2) Inability to accommodate team play, 3) Affected by rating inflation. The formulation of an enhancement to the algorithm revolves around three main objectives for the algorithm: 1) Responds to player inactivity, 2) Accomodates team player, and 3) Reduces the rate of inflation. To achieve these objectives, the researchers have conducted surveys with active members of the online gaming community, along with using modern day ranking systems as references for data gathering. Using the GameMaker Studio software from Yoyo Games, the researchers developed a multiplayer game which would simulate a multiplayer game scenario along with a rating calculator with a rating calculator developed with the Netbeans IDE using the Java programming language, this calculator uses the enhanced Elo Rating Algorithm to calculate player's rating pre and post-game along with allotting penalties for long periods of inactivity, demonstrating its improvement over the existing Elo Rating Algorithm. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
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| Terms governing use and reproduction |
5 |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
. |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Institution code [OBSOLETE] |
lcc |
| Item type |
Thesis/Dissertation |
| Source of classification or shelving scheme |
|