Understanding and Predicting Users’ Rating Behavior: A Cognitive Perspective

DOI10.1287/ijoc.2019.0919zbMath1456.90087OpenAlexW2972850605MaRDI QIDQ5148186

Ruoran Liu, David Jingjun Xu, Riheng Yao, Daniel D. Zeng, Qiudan Li

Publication date: 1 February 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2019.0919

zbMATH Keywords

cognitive theoryrating predictionaspect ratingrating behavior analysisreview content

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Learning and adaptive systems in artificial intelligence (68T05) Management decision making, including multiple objectives (90B50)

Uses Software

• word2vec

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