TY  - BOOK
AU  - Martinez, Jonas Mark D. and Torres, Jerome Paulo J.
TI  - Enhancement of elo rating algorithm applied in multiplayer game matchmaking 
AV  - QA76.6  M37 2015 
U1  - . 
PY  - 2015///
CY  - .
PB  - .
N1  - 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; 5; F
N2  - 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
ER  -