… in variety of recommendation systems. In this work, the primary focus is the tourism domain,
where RS … [44] discussed about Sem-Fit which is a semantic TRS, recommending hotels to …

… recommender system able to facilitate the tourist decision making … Online recommendation
sources range from reviews … recommendations created by electronic decision-making aids, …

… This work aims not only to present a systematic review and … and semantically interrelated
data is thus a great opportunity for boosting recommendation systems in the tourism domain. …

… [22] discuss that Sem-Fit uses the customers’ experience … , represented by means of domain
ontologies and affect grids. Hu … ] have used the Trip Advisor reviews in the semantic-based …

… Crespo, AL Cuadrado, JLC Palacios, RG Carrasco, IR Mezcua, "Sem-Fit: A semantic
based expert system to provide recommendations in the tourism domain," Expert systems with …

… recommendation (FUTCHR) system was developed in this study. The FUTCHR system …
typically select a hotel before searching for nearby tourist attractions or restaurants [13], [14]. …

… ) with semantics for domain ontology to make recommendation … producing recommendation
based on expert system using … of this tourist personalization system and is required to submit …

… Sem-Fit is a semantic hotel recommendation expert system … Sem-Fit is a semantic-based
expert system that makes suggestions in the tourism domain based on the user's experience …

… items in the tourism and the technological domain (Table 1). … to make similarity-based
predictions for the recommendation … a collaborative filtering based recommender system (Logesh …

… to do hotel recommendations for tourism domain. Sem-Fit leverage on consumer experience
… , social networks and semantics. SPETA uses a hybrid filtering approach combining sliding …