Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Scheduling the Turkish Soccer League Using Mathematical Programming(Izmir Institute of Technology, 2013) Güney, Faruk; Aslan, Burak Galip; Aslan, Burak Galip; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyGenerating a fair and feasible schedule is a difficult challenge for sports league organizers because of having various requirements from various involved parties. Some of these requirements are fairness requirements. Turkish Soccer League should be scheduled by according to these requirements especially because of the reduction of the confidence in Turkish Soccer League organizers and authorities due to the case of match fixing in recent years. As scheduling Turkish Soccer League, the prior requirements in our study are the minimization of the total number of break, carry over effect (COE) value of a schedule in addition to meeting the conflicting venue constraints. We decomposed scheduling process in phases to facilitate our solution. We used a different variation of first-break-then-schedule approach, proposed by Rasmussen and Trick (2008), to meet break conditions initially and solved each phase by applying different mathematical programming techniques including Integer Programming (IP) and Constraint Programming (CP). Our study generates a schedule having carry over effect (COE) value which is one of the lowest ones in European soccer competitions, in addition to minimizing total number of breaks.Master Thesis Moresysgoal: Movie Recommendation System Using Technique Supplemented by Content With Goal Programming(Izmir Institute of Technology, 2012) İnan, Emrah; İnan, Emrah; Aytaç, İsmail Sıtkı; Aytaç, İsmail Sıtkı; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyIn recent years, internet grows at an accelerating rate. In addition, a new flow of information, which has various types of data, takes place at internet. Therefore, the end users may not find the relevant information satisfying their interests. As a result, recommendation systems, one of the approaches, appeared to help users for this manner. MoresysGOAL is one of the examples for these systems, and stands for movie recommendation system with goal programming. It aims to improve the state-of-art collaborative filtering algorithms unless they have enough dense dataset. Hence, MoresysGOAL has a successful combination of content-based and collaborative filtering approaches for increasing performance of the recommendation system. This thesis focuses on serving a successful solution to users considering two parts. The first part is related to the similarity calculation of the contents are supplemented by goal programming. Moreover, the proposed system has the content information of the movies which also play a role to support collaborative filtering algorithms. These collaborative methods form the second part by means of predicting movies to satisfy user tastes. Lastly, MoresysGOAL is a web-based application for recommending prediction lists of movies to the end users.