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Georgios Chalkiadakis, Ioannis Ziogas, Michail Koutsmanis, Errikos Streviniotis, Costas Panagiotakis and Harris Papadakis
In this paper, we develop a novel hybrid recommender system for the tourism domain, which combines (a) a Bayesian preferences elicitation component which operates by asking the user to rate generic images (corresponding to generic types of POIs) in order...
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Michail Salampasis, Alkiviadis Katsalis, Theodosios Siomos, Marina Delianidi, Dimitrios Tektonidis, Konstantinos Christantonis, Pantelis Kaplanoglou, Ifigeneia Karaveli, Chrysostomos Bourlis and Konstantinos Diamantaras
Research into session-based recommendation systems (SBSR) has attracted a lot of attention, but each study focuses on a specific class of methods. This work examines and evaluates a large range of methods, from simpler statistical co-occurrence methods t...
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Markos Konstantakis, Yannis Christodoulou, John Aliprantis and George Caridakis
In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visi...
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Siti Mahfuzah Sarif,Zurina Hanafi,Shafinah Farvin Packeer Mohamed,Syamsul Bahrin Zaibon,Mohamad Farhan Mohamad Mohsin
Pág. pp. 129 - 149
This paper discusses a unique business model of eatery recommender system based on local knowledge using mobile platform. The business model is developed to define the business concept of the innovation which is a rural innovation involving multiple enti...
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Faried Effendy,Kartono Kartono,Dyah Herawatie
Pág. pp. 32 - 47
This research aims to build a boarding house recommender system based on the Fuzzy TOPSIS method. This application can be utilized by the student community to discover a suitable boarding house. This research uses the classic life cycle (waterfall)...
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Shen-Tsu Wang and Meng-Hua Li
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