Devising intelligent systems capable of identifying the idiosyncratic needs of users at scale
and translating them into attribute-level design feedback and recommendations is a key …

Eliciting user needs for individual components and features of a product or a service on a
large scale is a key requirement for innovative design. Synthesizing data as an initial …

Social media give new opportunities in customer survey and market survey for design
inspiration with comments posted online by users spontaneously, in an oral-near language …

This research paper presents a novel approach for recommending products to customers
based on their cared aspects by performing sentiment analysis on customer feedback. The …

Product design experts depend on online customer reviews as a source of insight to improve
product design. Previous works used aspect-based sentiment analysis to extract insight from …

The use of online, user-generated content for consumer preference modeling has been a
recent topic of interest among the engineering and marketing communities. With the rapid …

The popularity of Web 2.0 has resulted in a large number of publicly available online
consumer reviews created by a demographically diverse user base. Information about the …

With the development of social networks and online shopping sites, we can easily obtain
valuable feedback from users. The crucial question is how to utilize customer feedback for …

Advanced data analytics is one of the most revolutionary technological developments in the
21st century, which enables the discovery of underlining trends via sophisticated …

The explanation interface has been recognized as important in recommender systems
because it can allow users to better judge the relevance of recommendations to their …