Browsing by Author "Özgür Özlük"
Now showing items 1-9 of 11
-
AirBnb host recommendation engine
Arslan, Batuhan (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)In this project, a fifth rule is proposed to reveal guests ' comments about hosts using the recommendation system and sentiment analysis for the super hosts' selection for Airbnb. This project is aimed to contribute to ... -
Big data analysis on hotel reviews
Demir, Burcu (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)This analysis aims to get a regression model of the reviews and the score by the guests to observe the effects of the content of the reviews on scores. The content of the reviews is also suitable for a sentiment analysis. ... -
Capacity allocation and pricing policies for cloud computing service providers
Afghah, R.; Özgür Özlük; Ünlüyurt T. (Curran Associates Inc., 2018)The cloud computing is regarded as a paradigm shift in today’s IT world. As cloud computing resources behave like perishable products, revenue management techniques can be applied to increase cloud service provider's total ... -
Duplicate record detection: A rule-based approach
Malkaralı, Gülce (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)The study presents a rule based algorithm to detect dublicate and near-dublicate rocords within a dataset that is extracted from a leading online reality platform. -
The effect of Bert-based grammatical analysis on Google search results
Çolak, Oğuz (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)This study aims to study the BERT, namely Bidirectional Encoder Representations from Transformers model, which is introduced by Google and is of great importance in content analysis, and to examine the role of grammatical ... -
Employee performance prediction
Sivas, Barış (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)DogGo is a company that aims to provide safe and professional dog walking and grooming services to dog owners through the mobile application. Thanks to the DogGo application, dog owners and people who is employee of company ... -
Forecasting organic traffic with different source of data
Çolak, Mehtap (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)In this project, the results are compared using different data sets for the organic traffic forecasting of a website. Two different models were developed based on the data obtained from Google Search Console (GSC), Google ... -
RFM based customer segmentation for a mobile application
Baykan, Ozan Barış (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)In this project, customer segmentation was made for Doggo, a mobile application that brings together trained dog walkers for people who are not able to provide daily needs of their dogs. The data was organized by obtaining ... -
Segmentation with unsupervised learning: An application using the Walker's data
Polat, Taylan (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)In this project, the Walkers suitable for the service were filtered by using the dataset shared by the DogGo company. Then, unsupervised machine learning methods such as K-Means, Gaussian, Principal Component Analysis were ...
