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20182026
most citedPoint-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective

105 citations · 107 across the 2 of their papers we have counts for

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cs.IR2026

Behavior-Mining, Generative Conversations, and Collaborative Advisory: the Future of Travel and Tourism Recommender Systems

Alejandro Bellogín, Linus W. Dietz, Francesco Ricci +1

Since the early adoption of e-commerce, travel and tourism has been a lab for the design of recommender systems: tools that help travelers choose destinations, flights, accommodati…