Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019

被引：16

作者：

Adamczak, Jens ^{[1
]}

Deldjoo, Yashar ^{[2
]}

Moghaddam, Farshad Bakhshandegan ^{[3
,5
]}

Knees, Peter ^{[4
]}

Leyson, Gerard-Paul ^{[1
]}

Monreal, Philipp ^{[1
]}

机构：

[1] Trivago NV, Kesselstr 5-7, D-40221 Duusseldorf, Germany

[2] Polytech Univ Bari, SisInf Lab, DEI, Via Orabona 4, I-70125 Bari, Italy

[3] Karlsruhe Inst Technol, Karlsruhe, Germany

[4] TU Wien, Inst Informat Syst Engn, Favoritenstr 9-11-194-1, A-1040 Vienna, Austria

[5] Univ Bonn, Regina Pacis Weg 3, D-53113 Bonn, Germany

来源：

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 2021年 / 12卷 / 01期

关键词：

Dataset; session-based recommender systems; context-aware recommender systems; tourism; hotel recommendation;

D O I：

10.1145/3412379

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：20

共 31 条

[1] RecSys Challenge 2016: Job Recommendations
Abel, Fabian
Benczur, Andras
Kohlsdorf, Daniel
Larson, Martha
Palovics, Robert
[J]. PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16), 2016, : 425 - 426
[2] RecSys Challenge 2017: Offline and Online Evaluation
Abel, Fabian
Deldjoo, Yashar
Elahi, Mehdi
Kohlsdorf, Daniel
[J]. PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17), 2017, : 372 - 373
[3] Adamczak Jens, 2019, ARXIV190800071
[4] [Anonymous], 2017, RECSYS CHALLENGE
[5] [Anonymous], 2015, SESSION BASED RECOMM
[6] [Anonymous], 2016, RECSYS CHALLENGE
[7] [Anonymous], 2015, RECSYS CHALLENGE
[8] Ben-Shimon D., 2015, P 9 ACM C RECOMMENDE, P357, DOI [10.1145/2792838.2798723, DOI 10.1145/2792838.2798723]
[9] Booking.com, 2019, 515K HOTEL REV DATA
[10] RecSys Challenge 2018: Automatic Music Playlist Continuation
Chen, Ching-Wei
Lamere, Paul
Schedl, Markus
Zamani, Hamed
[J]. 12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, : 527 - 528

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