With the explosive growth of the Word Wide Web, information overload became a crucial
concern. In a data-rich information-poor environment like the Web, the discrimination of …

Recommending new items for suitable users is an important yet challenging problem due to
the lack of preference history for the new items. Noncollaborative user modeling techniques …

In this paper, we provide methods for creatively incorporating information from financial
news and Twitter feeds into predicting the prices of a portfolio of stocks, using the framework …

We present WHATSUP, a collaborative filtering system for disseminating news items in a
large-scale dynamic setting with no central authority. WHATSUP constructs an implicit social …

The top-N recommendation problem has been studied extensively. Item-based collaborative
filtering recommendation algorithms show promising results for the problem. They predict a …

As short video social apps develop rapidly, feed has become the main approach or
algorithm to present recommendation content to users in such apps. There are big …

The media industry has been struggling to create sustainable business models for news
content in the digital era. While the collapse of the traditional business models can be …

The database architecture and system design of NewsStand, a database system that
analyzes and displays streaming news using a map user interface, is described. Special …

Recently, the Internet usage spread in all areas of life. Online news is among the popular
articles on the Internet, which occupies a large portion of online information. The online …

This paper studies knowledge organization (KO) in media archives, focusing on the
presence of subjectivity in the core tasks of mass media knowledge organizers (MKOS) …