RecSys challenge 2015 and the YOOCHOOSE dataset

David Ben-Shimon, Bracha Shapira, Alexander Tsikinovsky, Lior Rokach, Michael Friedmann, Johannes Hoerle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

56 Scopus citations

Abstract

The 2015 ACM Recommender Systems Challenge offered the opportunity to work on a large-scale e-commerce dataset from a big retailer in Europe which is accepting recommender system as a service from YOOCHOOSE. Participants tackled the problem of predicting what items a user intends to purchase, if any, given a click sequence performed during an activity session on the ecommerce website. The challenge ran for seven months and was very successful, attracting 850 teams from 49 countries which submitted a total of 5,437 solutions. The winners of the challenge scored approximately 50% of the maximum score, which we considered as an impressive achievement. In this paper we provide a brief overview of the challenge and its results.

Original languageEnglish
Title of host publicationRecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages357-358
Number of pages2
ISBN (Electronic)9781450336925
DOIs
StatePublished - 16 Sep 2015
Event9th ACM Conference on Recommender Systems, RecSys 2015 - Vienna, Austria
Duration: 16 Sep 201520 Sep 2015

Publication series

NameRecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems

Conference

Conference9th ACM Conference on Recommender Systems, RecSys 2015
Country/TerritoryAustria
CityVienna
Period16/09/1520/09/15

Keywords

  • E-commerce
  • RecSys challenge 2015
  • Recommender systems
  • YOOCHOOSE

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