The effects of controllability and explainability in a social recommender system
CH Tsai, P Brusilovsky - User Modeling and User-Adapted Interaction, 2021 - Springer
In recent years, researchers in the field of recommender systems have explored a range of
advanced interfaces to improve user interactions with recommender systems. Some of the …
advanced interfaces to improve user interactions with recommender systems. Some of the …
Toward personalized answer generation in e-commerce via multi-perspective preference modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted
increasing attention as it can act as an intelligent online shopping assistant and improve the …
increasing attention as it can act as an intelligent online shopping assistant and improve the …
A topic modeling‐based bibliometric exploration of automatic summarization research
The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …
summarization approaches to effectively handle vast textual information. There are several …
Unsupervised semantic approach of aspect-based sentiment analysis for large-scale user reviews
Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to
its extensive applications. Most of the existing ABSA methods been applied on small-sized …
its extensive applications. Most of the existing ABSA methods been applied on small-sized …
Generating post hoc review-based natural language justifications for recommender systems
In this article, we present a framework to build post hoc natural language justifications that
supports the suggestions generated by a recommendation algorithm. Our methodology is …
supports the suggestions generated by a recommendation algorithm. Our methodology is …
Attribute-sentiment-guided summarization of user opinions from online reviews
Eliciting informative user opinions from online reviews is a key success factor for innovative
product design and development. The unstructured, noisy, and verbose nature of user …
product design and development. The unstructured, noisy, and verbose nature of user …
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data
Collaborative filtering recommendation algorithms generate suggestions based on similar
interactions between users. Although it provides accurate recommendations, the approach …
interactions between users. Although it provides accurate recommendations, the approach …
Examining the effects of power status of an explainable artificial intelligence system on users' perceptions
Contrary to the traditional concept of artificial intelligence, explainable artificial intelligence
(XAI) aims to provide explanations for the prediction results and make users perceive the …
(XAI) aims to provide explanations for the prediction results and make users perceive the …
A unified dual-view model for review summarization and sentiment classification with inconsistency loss
Acquiring accurate summarization and sentiment from user reviews is an essential
component of modern e-commerce platforms. Review summarization aims at generating a …
component of modern e-commerce platforms. Review summarization aims at generating a …
Extracting and ranking product features in consumer reviews based on evidence theory
Online consumer product reviews have been the primary source for manufacturers and
consumers to obtain consumer knowledge and product information. However, the explosion …
consumers to obtain consumer knowledge and product information. However, the explosion …