Benefits of online education or shortcomings of the traditional system?
Tudor Macavei, Valentina Iuliana Manea, Costin Pribeanu
Artificial Intelligence technologies for enhancing real estate apps
Filip Mănișor, Mihai Mașală, Eduard Cojocea, Traian Rebedea
1 Technical University of Civil Engineering
Bd. Lacul Tei 122-124, Bucharest, Romania
2 Academy of Romanian Scientists
Splaiul Indpendentei 54, Bucharest, Romania
Abstract. The pandemic generated by the Coronavirus COVID-19 forced universities to shift from face-to-face to online education. This change has been a challenge for both teachers and students, as well as for the institution. Inherently, the new situation triggered a comparison with the traditional system and for many students, it seems to bring unforeseen benefits. A closer look at students’ opinions reveals that apart from the contextual advantages, online teaching and learning are surpassing or fixing several limitations or shortcomings of the traditional system. The objective of this research is to analyze in more detail the students' positive perceptions of online teaching and learning from a new perspective. The analysis revealed several shortcomings of the pre-existing system: lack of a structured repository of educational materials, scarcity of learning support, poor access to information of interest, issues related to communication with teachers, and issues related to the quality of the learning environment.
Keywords: online education, pandemic, engineering education, benefits of online learning.
Cite this paper as:
Macavei, T., Manea, V. I., Pribeanu, C. Benefits of online education or shortcomings of the traditional system?. International Journal of User-System Interaction 14(4), 119-130, 2021.
1 IMOPEDIA SRL
52 Ion Băiulescu Street, Bucharest, Romania
2 Open Gov SRL
95 Blvd. Alexandru Ioan Cuza, Bucharest, Romania
3 University Politehnica of Bucharest
313 Splaiul Independentei, Bucharest, Romania
Abstract. Given the large amounts of data available in real estate applications and also influenced by the recent uptake of Artificial Intelligence (AI) in various domains, real estate apps are also exploring how AI can be used to improve user experience and provide better functionality for buyers, sellers, and real estate agents. We provide an overview of using various machine learning technologies for several tasks relevant to real estate apps. The experiments were performed using data from IMOPEDIA, one of the leading real estate portals in Romania, and the developed technologies are currently being integrated into the IMOPEDIA app. Thus, we analyze the performance of machine learning models for price prediction and detection of duplicate listings, together with some insights about the explainability of these models. We also show how to visit and click logs can be used to recommend properties similar to the preferences of a user and also to improve search by providing a personalized search.
Keywords: machine learning, real estate apps, price prediction, duplicate detection, page recommendations
Cite this paper as:
Mănișor, F., Mașală, M., Cojocea, E., Rebedea, T. Artificial Intelligence technologies for enhancing real estate apps. International Journal of User-System Interaction 14(4), 131-147, 2021.