☆ 4.5 Review

The Tip of the Buyer: Extracting Product Tips from Reviews

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2023)

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。

Article Computer Science, Artificial Intelligence

Multi-view Graph Attention Network for Travel Recommendation

Lei Chen et al.

Summary: The recommender system plays a significant role in e-commerce and e-tourism, with travel product recommendation requiring consideration of multiple factors and differing from traditional recommendations. Researchers have proposed the MV-GAN model to enrich user and product semantics through multi-view fusion and neighbor aggregation, and experiments have shown its effectiveness and interpretability.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Attentive multi-task learning for group itinerary recommendation

Lei Chen et al.

Summary: This paper proposes an AMT-IRE framework, which dynamically learns the inner relations between group members and obtains consensus group preferences via the attention mechanism. By integrating POI categories and textual information, combined with attention networks, group itineraries are recommended effectively.

KNOWLEDGE AND INFORMATION SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A multi-task learning approach for improving travel recommendation with keywords generation

Lei Chen et al.

Summary: This study introduces a TRKG model that provides a more comprehensive product representation and accurate recommendations by jointly modeling click sequences and product keywords in the title. Significant improvements were achieved in both travel recommendation and keyword generation tasks compared to existing methods.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Generating Tips from Product Reviews

Sharon Hirsch et al.

Summary: Product reviews are crucial in e-commerce, providing important information and recommendations. Some websites have started to add the option to post tips, which usually offer new insights about products. However, most e-commerce platforms do not consider tips as a distinct concept, with customers typically expressing advice through other means such as reviews.

WSDM '21: PROCEEDINGS OF THE 14TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (2021)

添加到收藏夹

Review Business

Online User Review Analysis for Product Evaluation and Improvement

Cheng Yang et al.

Summary: This study introduces a new user research method that evaluates products and suggests improvement strategies by analyzing online reviews. The effectiveness of the method was validated in smartphone user reviews, accurately predicting the product's negative review rate and proposing improvement strategies.

JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH (2021)

添加到收藏夹

Review Computer Science, Information Systems

Personalized Review Recommendation based on Users' Aspect Sentiment

Chunli Huang et al.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2020)

添加到收藏夹

Article Computer Science, Information Systems

Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods

Slava Novgorodov et al.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2020)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Persona-Aware Tips Generation

Piji Li et al.

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Unsupervised tip-mining from customer reviews

Di Zhu et al.

DECISION SUPPORT SYSTEMS (2018)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Manipulation of online reviews: An analysis of ratings, readability, and sentiments

Nan Hu et al.

DECISION SUPPORT SYSTEMS (2012)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Quality evaluation of product reviews using an information quality framework

Chien Chin Chen et al.

DECISION SUPPORT SYSTEMS (2011)

添加到收藏夹

Article Hospitality, Leisure, Sport & Tourism

The impact of online user reviews on hotel room sales

Qiang Ye et al.

INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT (2009)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Do online reviews matter? - An empirical investigation of panel data

Wenjing Duan et al.

DECISION SUPPORT SYSTEMS (2008)

添加到收藏夹

Article Environmental Studies

Electronic word-of-mouth in hospitality and tourism management

Stephen W. Litvin et al.

TOURISM MANAGEMENT (2008)

添加到收藏夹

Article Business

The effect of word of mouth on sales: Online book reviews

Judith A. Chevalier et al.

JOURNAL OF MARKETING RESEARCH (2006)

添加到收藏夹

Article Automation & Control Systems

Monte Carlo cross validation

QS Xu et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.