20.500.12556/RUL-173255 Sistem za iskanje športnih soigralcev z uporabo strojnega učenja A system for finding sports teammates using machine learning Iskanje soigralca za športe, kot sta tenis ali badminton, je pogosto zamudno in neučinkovito, saj je težko najti nekoga, ki je prost v enakem času in ima primerljivo raven znanja, da je igra zanimiva za oba. Trenutne rešitve, kot so Facebook skupine in forumi, temeljijo na ročnem iskanju, kar pogosto odvrača igralce od športa. V okviru te naloge smo razvili sistem, ki igralcem predlaga najprimernejše soigralce na podlagi njihovih značilnosti in preteklih odigranih iger. Upoštevamo spol, starost, oceno ELO ter rezultate tekem in stopnjo zadovoljstva z igro. Rešitev je implementirana kot spletna aplikacija z modernimi spletnimi tehnologijami in hibridnim priporočilnim modelom. Končni produkt uporabnikom olajša iskanje primernih soigralcev, izboljša njihovo izkušnjo in spodbuja več igralcev k aktivnemu vključevanju v šport. Finding a partner for sports such as tennis or badminton is often time-consuming and inefficient, as it can be difficult to arrange a game and even harder to find someone of a similar skill level to ensure the match is enjoyable for both players. Existing solutions, such as Facebook groups and online forums, rely on manual searching, which discourages many people from engaging in the sport. As part of this thesis, we developed a system that recommends the most suitable partners for tennis and badminton using machine learning, based on user characteristics and previously played matches. The system takes into account factors such as gender, age, ELO rating, and match history, as well as match outcomes and how much the players reported enjoying the game. The solution is implemented as a web application built using modern web technologies and a hybrid recommender system. The final product improves the experience of finding suitable partners compared to existing solutions, enabling more players to participate in the sport and helping to build a stronger sports community. strojno učenje priporočilni sistem analiza podatkov vektorsko iskanje športna aplikacija tenis machine learning recommender system data analysis vector search sports application tennis true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-09-15 10:45:00 2025-09-15 10:45:06 2025-11-07 03:48:41 0000-00-00 00:00:00 2025 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 37962 250393603 Meznar_Blaz_-_Sistem_za_iskanje_sportnih_soigralcev_z_uporabo_strojnega_ucenja.pdf Meznar_Blaz_-_Sistem_za_iskanje_sportnih_soigralcev_z_uporabo_strojnega_ucenja.pdf 1 B77A5999CBA880264C7899E6E08F4FA7 569b69a47cbab9f45596c91c6d37df66e3c4378d517518dbe8598317daa3a0c5 1bd6b76b-9210-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=217466 Fakulteta za računalništvo in informatiko 0 0 0