Publications in Scientific Journals:
J. Adamczak, Y. Deldjoo, F. Bakhshandegan Moghaddam, P. Knees, G. Leyson, P. Monreal:
"Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019";
ACM Transactions on Intelligent Systems and Technology,
12
(2020),
1.
English abstract:
In 2019, the Recommender Systems Challenge [17] dealt for the first time with a real-world task from the area of e-tourism, namely the recommendation of hotels in booking sessions. In this context, we present the release of a new dataset that we believe is vitally important for recommendation systems research in the area of hotel search, from both academic and industry perspectives. In this article, we describe the qualitative characteristics of the dataset and present the comparison of several baseline algorithms trained on the data.
Keywords:
session-based recommender systems, Dataset, tourism, context-aware recommender systems, hotel recommendation
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3412379
Electronic version of the publication:
https://doi.org/10.1145/3412379
Created from the Publication Database of the Vienna University of Technology.