This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

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 …

Financial news articles are believed to have impacts on stock price return. Previous works
model news pieces in bag-of-words space, which analyzes the latent relationship between …

An important factor affecting the performance of collaborative filtering for recommendation
systems is the sparsity of the rating matrix caused by insufficient rating data. Improving the …

In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …

Decision support is a vital function in electronic commerce (e-commerce). The purpose of
this paper is to construct a review-based decision support model for items comparison in e …

Recommendation system provides the facility to understand a person's taste and find new,
desirable content for them automatically based on the pattern between their likes and rating …

One of the most challenging problems in aspect-based opinion mining is aspect extraction,
which aims to identify expressions that describe aspects of products (called aspect …

In popular applications such as e-commerce sites and social media, users provide online
reviews giving personal opinions about a wide array of items, such as products, services …

With the advent and popularity of social network, more and more people like to share their
experience in social network. However, network information is growing exponentially which …