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Descriptions from the Customers

https://doi.org/10.1145/3418202
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cb.385openalex-snapshot
Factors affecting consumers' trust in online product reviews
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_891openalex-snapshot
Online Controlled Experiments and A/B Testing
inferredcites →https://doi.org/10.1007/978-3-031-02145-9openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.1007/978-3-540-85836-2_29openalex-snapshot
The Evaluation of Sentence Similarity Measures
inferredcites →https://doi.org/10.1016/j.chb.2013.10.050openalex-snapshot
When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.116openalex-snapshot
Identifying helpful reviews based on customer’s mentions about experiences
inferredcites →https://doi.org/10.1016/j.jbusres.2011.02.043openalex-snapshot
Apparel product attributes, web browsing, and e-impulse buying on shopping websites
inferredcites →https://doi.org/10.1037/h0026256openalex-snapshot
Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.
inferredcites →https://doi.org/10.1108/09564231311323962openalex-snapshot
Measuring consumer perceptions of online shopping convenience
inferredcites →https://doi.org/10.1109/3468.852436openalex-snapshot
What makes consumers buy from Internet? A longitudinal study of online shopping
inferredcites →https://doi.org/10.1109/ms.2014.50openalex-snapshot
What Do Mobile App Users Complain About?
inferredcites →https://doi.org/10.1109/tkde.2010.188openalex-snapshot
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/1134707.1134743openalex-snapshot
Can online reviews reveal a product's true quality?
inferredcites →https://doi.org/10.1145/1183614.1183625openalex-snapshot
Movie review mining and summarization
inferredcites →https://doi.org/10.1145/1985793.1985819openalex-snapshot
On-demand feature recommendations derived from mining public product descriptions
inferredcites →https://doi.org/10.1145/1998076.1998134openalex-snapshot
Product review summarization from a deeper perspective
inferredcites →https://doi.org/10.1145/2110147.2110153openalex-snapshot
On extracting feature models from product descriptions
inferredcites →https://doi.org/10.1145/2396761.2396839openalex-snapshot
Matching product titles using web-based enrichment
inferredcites →https://doi.org/10.1145/2872427.2883037openalex-snapshot
Ups and Downs
inferredcites →https://doi.org/10.1145/2872427.2883086openalex-snapshot
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1145/3038912.3052632openalex-snapshot
Extracting and Ranking Travel Tips from User-Generated Reviews
inferredcites →https://doi.org/10.1145/312624.312665openalex-snapshot
Summarizing text documents
inferredcites →https://doi.org/10.1145/312624.312681openalex-snapshot
Information retrieval as statistical translation
inferredcites →https://doi.org/10.1145/3209978.3210058openalex-snapshot
From Royals to Vegans
inferredcites →https://doi.org/10.1145/3308558.3313532openalex-snapshot
Generating Product Descriptions from User Reviews
inferredcites →https://doi.org/10.1145/3357384.3357984openalex-snapshot
Learning to Generate Personalized Product Descriptions
inferredcites →https://doi.org/10.1145/3397271.3401065openalex-snapshot
Query Reformulation in E-Commerce Search
inferredcites →https://doi.org/10.1145/3397271.3401128openalex-snapshot
Product Bundle Identification using Semi-Supervised Learning
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
inferredcites →https://doi.org/10.1207/s15327663jcp1304_10openalex-snapshot
The Effect of Examining Actual Products or Product Descriptions on Consumer Preference
inferredcites →https://doi.org/10.1287/isre.1070.0154openalex-snapshot
Self-Selection and Information Role of Online Product Reviews
inferredcites →https://doi.org/10.1509/jmkr.43.3.345openalex-snapshot
The Effect of Word of Mouth on Sales: Online Book Reviews
inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1613/jair.1523openalex-snapshot
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
inferredcites →https://doi.org/10.18653/v1/n16-1174openalex-snapshot
Hierarchical Attention Networks for Document Classification
inferredcites →https://doi.org/10.18653/v1/p16-2038openalex-snapshot
Deep multi-task learning with low level tasks supervised at lower layers
inferredcites →https://doi.org/10.2307/2980937openalex-snapshot
Proceedings of the Berkeley Symposium on Mathematical Statistics and Probability.
inferredcites →https://doi.org/10.24963/ijcai.2017/568openalex-snapshot
Interactive Attention Networks for Aspect-Level Sentiment Classification
inferredcites →https://doi.org/10.3115/1220575.1220618openalex-snapshot
Extracting product features and opinions from reviews
inferredcites →https://doi.org/10.3115/v1/d14-1168openalex-snapshot
Abstractive Summarization of Product Reviews Using Discourse Structure
inferredcites →https://doi.org/10.5220/0007358701120122openalex-snapshot
LSTM Neural Networks for Transfer Learning in Online Moderation of Abuse Context

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/aaai.12083openalex-snapshot
Intelligent online selling point extraction and generation for e‐commerce recommendation
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_22openalex-snapshot
Social Recommender Systems
inferred← citeshttps://doi.org/10.1016/j.im.2024.104051openalex-snapshot
Encoding consumer interests into product snippets with a multi-criteria genetic optimization approach
inferred← citeshttps://doi.org/10.1080/0952813x.2025.2481044openalex-snapshot
EGNN-IDG: enhanced generative neural network model for image description generation
inferred← citeshttps://doi.org/10.1109/iaict65714.2025.11100353openalex-snapshot
Automated Summarization of E-Commerce Application Reviews for Generating Application Descriptions to Enhance Customer Insights
inferred← citeshttps://doi.org/10.1145/3487664.3487696openalex-snapshot
Comparison of Deep Learning Models for Automatic Generation of Product Description on E-commerce site
inferred← citeshttps://doi.org/10.1145/3547140openalex-snapshot
The Tip of the Buyer: Extracting Product Tips from Reviews
inferred← citeshttps://doi.org/10.22541/au.168232520.04864938/v1openalex-snapshot
GETS : Sentence Scoring Scheme in Graph-based Extractive Text Summarization for Text Mining Applications
inferred← citeshttps://doi.org/10.31763/sitech.v3i2.1225openalex-snapshot
Advanced product review summarization in e-commerce marketplaces: elevating beyond tf-idf and lexrank method
inferred← citeshttps://doi.org/10.3390/info14090472openalex-snapshot
Graph-Based Extractive Text Summarization Sentence Scoring Scheme for Big Data Applications
inferred← citeshttps://doi.org/10.3390/math11020332openalex-snapshot
ReqGen: Keywords-Driven Software Requirements Generation
inferred← citeshttps://doi.org/10.5120/ijca2022922203openalex-snapshot
Revenue Prediction and Donor Segmentation for NGOs
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