2026-05-09T22:32:11.442Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:6981 2019-05-28T09:21:29Z 1

Construction of Training Data for Price Prediction of a Real Estate from Internet Ads 2019 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6981 http://portal.sinteza.singidunum.ac.rs/paper/692 M. Vidović I. Radosavljević A. Mitrović Z. Konjović The paper presents a model for constructing a data set aimed at predicting a price of a real estate (houses and flats) from the standard Internet ads. The model for predicting a real estate price includes, in addition to standard real estate's features (area, number of bedrooms, etc.) appearing in ad, attractiveness of a real estate location as well as information on some additional interior facilities (e.g., refrigerator, dish-washing machine, stove, etc.). The proposed training set construction model uses OpenStreetMap's Overpass API for determining attractiveness of a real estate's location, and a convolution neural network for detecting interior facilities from real estate photos. conferenceObject 388 393 10.15308/Sinteza-2019-388-393 Sinteza 2019 - International Scientific Conference on Information Technology and Data Related Research