In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …

Social media has boosted information sharing and user-generated content. Consequently,
many restaurant goers rely on online reviews for dining recommendations. This study adds …

User ratings are the essence of recommender systems in e-commerce. Lack of motivation to
provide ratings and eligibility to rate generally only after purchase restrain the effectiveness …

Crowdsourcing and machine learning are both useful techniques for solving difficult
problems (eg, computer vision and natural language processing). In this paper, we propose …

User-reviews of mobile applications provide information that benefits other users and
developers. Even though reviews contain feedback about an app's performance and …

Supplementing product information with user-generated content such as ratings and reviews
can help to convert browsers into buyers. As a result this type of content is now front and …

以人工智能与模式识别为核心的虚拟助理是当前备受各领域关注的智能化应用技术,
在远程教育个性化支持服务领域存在巨大的应用潜力, 其技术发展和市场需求集中体现在资源 …

Today, online reviews for products and services have become an important class of user-
generated content and they play a valuable role for countless online businesses by helping …

The Recommender systems technology is being massively exploited by e-commerce giants
to enhance the shopping experience of their clients which in turn helps in improving the …

The impact of online reviews on guests, hotel owners and other parties, is growing in
importance. In reference to online reviews, service quality plays a crucial role in hotel …