Aggregation of consumer ratings: an application to Yelp.com

被引：0
|
作者：
Weijia (Daisy) Dai
Ginger Jin
Jungmin Lee
Michael Luca
机构：
[1] Lehigh University,
[2] University of Maryland & NBER,undefined
[3] Seoul National University,undefined
[4] Harvard Business School,undefined
来源：
Quantitative Marketing and Economics | 2018年 / 16卷
关键词：
User generated content; Crowdsourcing; E-commerce; Learning; Yelp; D8; L15; L86;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this “rating aggregation problem” and offer a structural approach to solving it, allowing for (1) reviewers to vary in stringency and accuracy, (2) reviewers to be influenced by existing reviews, and (3) product quality to change over time. Applying this to restaurant reviews from Yelp.com, we construct an adjusted average rating and show that even a simple algorithm can lead to large information efficiency gains relative to the arithmetic average.
引用
收藏
页码：289 / 339
页数：50
相关论文
共 50 条
  • [1] Aggregation of consumer ratings: an application to Yelp.com
    Dai, Weijia
    Jin, Ginger
    Lee, Jungmin
    Luca, Michael
    [J]. QME-QUANTITATIVE MARKETING AND ECONOMICS, 2018, 16 (03): : 289 - 339
  • [2] Brand local: Consumer evaluations as commodity activism on Yelp.com
    Kuehn, Kathleen M.
    [J]. JOURNAL OF CONSUMER CULTURE, 2017, 17 (02) : 205 - 224
  • [3] Yelp.com ratings and the businesses visited by cruise passengers in Bar Harbor, Maine
    Gabe, Todd
    [J]. APPLIED ECONOMICS LETTERS, 2021, 28 (02) : 119 - 123
  • [4] Recursive Profiles of Businesses and Reviewers on Yelp.com
    Triff, Matt
    Lingras, Pawan
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2013, 8170 : 325 - 336
  • [5] Characterizing extremely negative reviews of ophthalmologists on yelp.com
    Smith, Jacob Freeman
    Qureshi, Muhammad
    Adeleye, Olufunmilola
    Luong, Hanna
    Shen, Joanne
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [6] Characterizing Extremely Negative Reviews of Ophthalmologists on Yelp.Com
    Smith, Jacob F.
    Shah, Ami A.
    Qureshi, Muhammad B.
    Luong, Hanna N.
    Adeleye, Olufunmilola
    Adams, Olufemi E.
    Shen, Joanne F.
    [J]. SEMINARS IN OPHTHALMOLOGY, 2022, 37 (05) : 661 - 667
  • [7] Why people use Yelp.com: An exploration of uses and gratifications
    Hicks, Amy
    Comp, Stephen
    Horovitz, Jeannie
    Hovarter, Madeline
    Miki, Maya
    Bevan, Jennifer L.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2012, 28 (06) : 2274 - 2279
  • [8] A Qualitative Assessment of Yelp.Com Users' Motivations to Submit and Read Restaurant Reviews
    Parikh, Anish A.
    Behnke, Carl
    Nelson, Doug
    Vorvoreanu, Mihaela
    Almanza, Barbara
    [J]. JOURNAL OF CULINARY SCIENCE & TECHNOLOGY, 2015, 13 (01) : 1 - 18
  • [9] Analyzing the Impact of Components of Yelp.com on Recommender System Performance: Case of Austin
    Lee, Seungwoo
    Shin, Hyunjoo
    Choi, Ilyoung
    Kim, Jaekyeong
    [J]. IEEE ACCESS, 2022, 10 : 128066 - 128076
  • [10] Motives for reading and articulating user-generated restaurant reviews on Yelp.com
    Parikh, Anish
    Behnke, Carl
    Vorvoreanu, Mihaela
    Almanza, Barbara
    Nelson, Doug
    [J]. JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY, 2014, 5 (02) : 160 - 176
12345