Abstract: Deep neural networks have found wide applications in fields such as natural language processing, language translation, computer vision, and speech recognition, including recommendation ...

Abstract: This study aims to evaluate the recommendation system we have implemented. The test was carried out using student profile data with (1) adding contextual information and (2) without ...

A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions and hence have become targets of manipulation by ...

Collaborative filtering powers many recommendation systems by using similarities in user interactions to suggest relevant items. In this project, we'll develop a user-based collaborative filtering ...

If any collaborative filtering system for Usenet Net News is ever to be successful, it will need to meet the requirements of not only the users, but also the Net News ...

The objective of this project is to build a Movie Recommendation System using Collaborative Filtering techniques. The system suggests movies to users based on the preferences and ratings of similar ...

China's Internet development raises questions on the interplay of user autonomy and Internet governance in the larger Chinese-language online cultural sphere. To what extent has user autonomy been ...