… The cross domain recommendation consists of source … A graph based cross domain
recommender system is proposed by … diagram of restauranttourist location cross domain system is …

… cross-domain recommendations. Upon the built semantic networks, we investigate graph-based
methods … like pasta should not be recommended Italian restaurants. In this context, the …

… In this chapter, we review the research related to the three … As users and items are fitted
in graph-based models, many … for a recommender system to recommend a restaurant in the …

… ), the system has to map information about restaurants and … is to increase the efficiency of
recommendation in target … Therefore, in this paper, cross domain approach is introduced and …

… Graph-based recommendation methods are attracting attention … different item recommendations
such as POIs, restaurant services, … In cross-domain, we place those proposals that do not …

… recommended items. In this paper, we conduct a systematical survey of knowledge graph-based
recommender systems. … in the field of graphbased recommendation and applications of …

… in graph-based recommendation … the restaurant’s name, geographic location, opening
hours, cuisine categories, average star rating, and so forth. The review table lists the restaurant’s …

… In this paper, we propose a new, improved graph-based movie recommender system using
… such as review data can be used in a graph-based recommender system by stacking BERT. …

… quantitative analysis methods into the literature research of recommendation systems and
… Attribute-aware are benchmark model; Knowledge graph-based method is our solution.) …

… graph based on the data and out-performs the state of the art … for applying embedding and
recommend restaurants, we first … Chua, “Cross-domain recommendation via clustering on multi…