FlixTime is a movie recommendation web application that recommends a group of friends having different interests in movie genres, some movies that most of them will enjoy. The system uses Hybrid approach to recommend movies due to the downsides of using only content based approach or...

Online Appendix of “Steering via Algorithmic Recommendations” Chen and Tsai (2019)This paper studies whether self-preferencing affects algorithmic recommendations on dominant platforms. We focus on the dual role of Amazon.com as a platform owner and retailer. We find that products sold by...

A tourist recommendation system has been implemented based on python, Django framework and MySQL database. Firstly, crawler technology is used to crawl the ratings(reviews of customer experiences) information of TripAdvisor, and then the crawled ratings data is stored in MySQL. In the system,...

Development of celebrity-brand, and subsequently influencer-brand congruence measurement scale has been the main aim of many studies since the 1950s. Currently, there is a growing interest in identifying the prerequisites of a successful influencer brand endorsement or influencer brand...

The development of an intelligent medication recommendation system can greatly benefit the healthcare industry by providing personalized and targeted treatment plans using artificial intelligence (AI). This system analyzes patient data, including medical history, symptoms, genetic information,...

Subscription-based platforms offer consumers access to a large selection of content at a fixed subscription fee. Recommender systems (RS) can help consumers by reducing the size of this choice set by predicting consumers' preferences. However, because the prediction is based on limited...

Online retailers widely use prices and reviews, as additional information cues along with thumbnail pictures, when making product recommendations to consumers. They may use both prices and reviews (“dual cues”), either one (“single cue”), or simply display pictures of recommended...

Online platforms employ recommendation systems to enhance customer engagement and drive revenue. However, in a multi-sided platform where the platform interacts with diverse stakeholders such as sellers (items) and customers (users), each with their own desired outcomes, finding an appropriate...

Web APIs provide enterprises with a new way of driving innovations of new technology with limited resources. API recommendations greatly alleviate the selection burdens of enterprises in identifying potential useful APIs to meet their business demands. However, these approaches disregard the...