An adaptive personalized news dissemination system
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 …
concern. In a data-rich information-poor environment like the Web, the discrimination of …
User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items
A Elbadrawy, G Karypis - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
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 …
the lack of preference history for the new items. Noncollaborative user modeling techniques …
Predicting a stock portfolio with the multivariate Bayesian structural time series model: Do news or emotions matter?
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 …
news and Twitter feeds into predicting the prices of a portfolio of stocks, using the framework …
Whatsup: A decentralized instant news recommender
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 …
large-scale dynamic setting with no central authority. WHATSUP constructs an implicit social …
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items
The top-N recommendation problem has been studied extensively. Item-based collaborative
filtering recommendation algorithms show promising results for the problem. They predict a …
filtering recommendation algorithms show promising results for the problem. They predict a …
A user experience study on short video social apps based on content recommendation algorithm of artificial intelligence
W Qi, D Li - International Journal of Pattern Recognition and …, 2021 - World Scientific
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 …
algorithm to present recommendation content to users in such apps. There are big …
[PDF][PDF] The Effects of Personalization on Purchase Intentions for Online News: An Experimental Study of Different Personalization Increments.
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 …
content in the digital era. While the collapse of the traditional business models can be …
Supporting rapid processing and interactive map-based exploration of streaming news
MD Lieberman, H Samet - … of the 20th International Conference on …, 2012 - dl.acm.org
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 …
analyzes and displays streaming news using a map user interface, is described. Special …
Challenges and issues on online news management
WMS Yafooz, SZZ Abidin… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
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 …
articles on the Internet, which occupies a large portion of online information. The online …
Critical organization of knowledge in mass media information systems
AG Gutiérrez, D Martínez-Ávila - KO KNOWLEDGE …, 2014 - nomos-elibrary.de
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) …
presence of subjectivity in the core tasks of mass media knowledge organizers (MKOS) …