Abstract
Yelp is an online website for reviewing restaurants, stores and so on. Users can grade restaurants and share their dining experiences through text and photos. Along with the social relationships between users, Yelp enables a recommendation engine to make precise restaurants recommendations, which improves the user experience of the website and promote the revenues of restaurants. In this chapter, we focus on the Yelp friend network to make friends recommendation through random forest (RF) and variational graph auto-encoder (VGAE). The former method assembles multiple handcraft node similarity indices while the latter one could automatically learn network structural features. Moreover, we construct a co-foraging network to analyze the co-foraging patterns on Yelp and recommend potential meal pals to users. The experiments show the effectiveness of the recommendation methods and reveal the possibility of applying link prediction approaches to Yelp data analysis.
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Zhang, J., Xia, J., Li, L., Shen, B., Wang, J., Xuan, Q. (2021). Find Your Meal Pal: A Case Study on Yelp Network. In: Xuan, Q., Ruan, Z., Min, Y. (eds) Graph Data Mining. Big Data Management. Springer, Singapore. https://doi.org/10.1007/978-981-16-2609-8_8
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DOI: https://doi.org/10.1007/978-981-16-2609-8_8
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