105 citations · 107 across the 2 of their papers we have counts for
3 papers
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…
cs.IR2021★ 105 cited
Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective
Pablo Sánchez, Alejandro Bellogín
Point-of-Interest recommendation is an increasing research and developing area within the widely adopted technologies known as Recommender Systems. Among them, those that exploit i…
cs.IR2018★ 2 cited
A novel approach for venue recommendation using cross-domain techniques
Pablo Sánchez, Alejandro Bellogín
Finding the next venue to be visited by a user in a specific city is an interesting, but challenging, problem. Different techniques have been proposed, combining collaborative, con…