Published 2018 | Version v3
Open dataset Metadata-only

Steam Video Game and Bundle Data

Creators

  • 1. University of California San Diego

Description

Description

Steam Video Game and Bundle Data captures reviews and purchase interactions collected by Julian McAuley's lab (University California San Diego): user reviews, purchases, plays, and recommendations ("likes") on the Steam platform, plus product bundle information. It includes anonymized user IDs, item IDs, review text, pricing information, and bundle compositions, available across 7,793,069 reviews, 2,567,538 users, 15,474 items, and 615 bundles.

Please cite the following if you use the data:

Self-attentive sequential recommendation
Wang-Cheng Kang, Julian McAuley
ICDM, 2018
DOI: https://doi.org/10.1145/3459637.3482448

Item recommendation on monotonic behavior chains
Mengting Wan, Julian McAuley
RecSys, 2018
DOI: https://doi.org/10.1145/3240323.3240369

Generating and personalizing bundle recommendations on Steam
Apurva Pathak, Kshitiz Gupta, Julian McAuley
SIGIR, 2017
DOI: https://doi.org/10.1145/3077136.3080724

Details

Resource type Open dataset
Title Steam Video Game and Bundle Data
Creators
  • Kang, Wang-Cheng1
  • McAuley, Julian1 ORCID icon
  • Pathak, Apurva1
  • Gupta, Kshitiz1
    • Publisher University of California San Diego
    Year of publication 2018
    Research fields Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Business Administration Other
    Companies Steam
    Size 1.4 GB ; 7,793,069 reviews ; 2,567,538 users
    Formats JSON format (.json)
    External resource https://cseweb.ucsd.edu/~jmcauley/datasets.html#steam_data

    Additional details

    Related works

    Is cited by
    Conference paper: 10.1145/3582016.3582029 (DOI)
    Is described by
    Conference paper: 10.1145/3459637.3482448 (DOI)
    Conference paper: 10.1145/3240323.3240369 (DOI)
    Conference paper: 10.1145/3077136.3080724 (DOI)