In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …

In recent times, the recommender systems (RSs) have considerable importance in
academia, commercial activities, and industry. They are widely used in various domains …

Online product reviews have significant impacts on consumers' purchase decisions. To
support consumers' purchase decisions, how to rank the products through online reviews is …

With the rapid growth and dissemination of mobile services, enhancement of customer
satisfaction has emerged as a core issue. Customer reviews are recognized as fruitful …

Complexity surrounding the holistic nature of customer experience has made measuring
customer perceptions of interactive service experiences challenging. At the same time …

In the context of recommendation systems, metadata information from reviews written for
businesses has rarely been considered in traditional systems developed using content …

In this paper, we dedicate to the topic of aspect ranking, which aims to automatically identify
important product aspects from online consumer reviews. The important aspects are …

A product ranking method is an effective tool that can analyze a significant number of online
product reviews to recommend suitable products to consumers. However, existing product …

Online reviews contain a great deal of information about consumers' purchasing
preferences, which seriously affects potential consumers' purchasing decisions. Using the …

This study proposes a novel decision support system for product ranking problems which
integrates multi criteria decision making (MCDM) and aspect level sentiment analysis …