Multi-aspect Reviews
- 1. University of California San Diego
- 2. Stanford University
Description
Description
The Multi-aspect Reviews dataset captures reviews with multiple rated dimensions collected by Julian McAuley's lab (University of California San Diego): beer reviews from Ratebeer and Beeradvocate, including sensory aspects such as taste, look, feel, and smell. It includes anonymized user IDs, beer/brewer IDs, aspect-specific ratings, review text, product category, and ABV, available as two separate datasets — Ratebeer (40,213 users, 110,419 items, 2,855,232 ratings, Apr 2000 – Nov 2011) and BeerAdvocate (33,387 users, 66,051 items, 1,586,259 ratings, Jan 1998 – Nov 2011).
Please cite the following if you use the data:
Learning attitudes and attributes from multi-aspect reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
ICDM, 2012
DOI: https://dl.acm.org/doi/10.1109/ICDM.2012.110From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Julian McAuley, Jure Leskovec
WWW, 2013
DOI: https://dl.acm.org/doi/10.1145/2488388.2488466
Details
| Resource type | Open dataset |
| Title | Multi-aspect Reviews |
| Creators |
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| Publisher | University of California San Diego |
| Year of publication | 2013 |
| Dates of collection | April 2000 – November 2011 ; January 1998 – January 2011 |
| Research fields | Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Business Administration Other |
| Size | 1 GB |
| Formats | JSON format (.json) |
| External resource | https://cseweb.ucsd.edu/~jmcauley/datasets.html#multi_aspect |
Additional details
Related works
- Is cited by
- Journal article: 10.1145/3514094.3534128 (DOI)
- Is described by
- Conference paper: 10.1109/ICDM.2012.110 (DOI)
- Conference paper: 10.1145/2488388.2488466 (DOI)