相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Predicting the helpfulness of online customer reviews: The role of title features
Mina Akbarabadi et al.
INTERNATIONAL JOURNAL OF MARKET RESEARCH (2020)
Examining the relationship between specific negative emotions and the perceived helpfulness of online reviews
Ren Gang et al.
INFORMATION PROCESSING & MANAGEMENT (2019)
Explaining and predicting online review helpfulness: The role of content and reviewer-related signals
Michael Siering et al.
DECISION SUPPORT SYSTEMS (2018)
Which online reviews do consumers find most helpful? A multi-method investigation
Seyed Pouyan Eslami et al.
DECISION SUPPORT SYSTEMS (2018)
An analysis of review content and reviewer variables that contribute to review helpfulness
M. S. I. Malik et al.
INFORMATION PROCESSING & MANAGEMENT (2018)
A Unified Model for the Adoption of Electronic Word of Mouth on Social Network Sites: Facebook as the Exemplar
Navid Aghakhani et al.
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE (2018)
Automated Text Analysis for Consumer Research
Ashlee Humphreys et al.
JOURNAL OF CONSUMER RESEARCH (2018)
Predicting the helpfulness of online reviews using a scripts-enriched text regression model
Thomas L. Ngo-Ye et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Yufei Xia et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
The effect of user-controllable filters on the prediction of online hotel reviews
Ya-Han Hu et al.
INFORMATION & MANAGEMENT (2017)
Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers
Zhibin Xiao et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)
Predicting the helpfulness of online consumer reviews
Jyoti Prakash Singh et al.
JOURNAL OF BUSINESS RESEARCH (2017)
Keep Your Cool or Let It Out: Nonlinear Effects of Expressed Arousal on Perceptions of Consumer Reviews
Dezhi Yin et al.
JOURNAL OF MARKETING RESEARCH (2017)
Helpfulness of product reviews as a function of discrete positive and negative emotions
M. S. I. Malik et al.
COMPUTERS IN HUMAN BEHAVIOR (2017)
Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective
Xu Chen et al.
DISCRETE DYNAMICS IN NATURE AND SOCIETY (2016)
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships
Robert P. Sheridan et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2016)
Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics
Bin Fang et al.
TOURISM MANAGEMENT (2016)
Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality
Alton Y. K. Chua et al.
COMPUTERS IN HUMAN BEHAVIOR (2016)
Can online product reviews be more helpful? Examining characteristics of information content by product type
Danny Weathers et al.
DECISION SUPPORT SYSTEMS (2015)
Linguistic features for review helpfulness prediction
Srikumar Krishnamoorthy
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Diversifying customer review rankings
Ralf Krestel et al.
NEURAL NETWORKS (2015)
An Association-Based Unified Framework for Mining Features and Opinion Words
Zhen Hai et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2015)
Attitude Predictability and Helpfulness in Online Reviews: The Role of Explained Actions and Reactions
Sarah G. Moore
JOURNAL OF CONSUMER RESEARCH (2015)
Rational exaggeration and counter-exaggeration in information aggregation games
Gordon C. Rausser et al.
ECONOMIC THEORY (2015)
Identifying helpful online reviews: A product designer's perspective
Ying Liu et al.
COMPUTER-AIDED DESIGN (2013)
Gradient boosting machines, a tutorial
Alexey Natekin et al.
FRONTIERS IN NEUROROBOTICS (2013)
Perceived helpfulness of online consumer reviews: The role of message content and style
Robert M. Schindler et al.
JOURNAL OF CONSUMER BEHAVIOUR (2012)
Quality evaluation of product reviews using an information quality framework
Chien Chin Chen et al.
DECISION SUPPORT SYSTEMS (2011)
Sentiment classification of Internet restaurant reviews written in Cantonese
Ziqiong Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
Anindya Ghose et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2011)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
分享论文
