Bibliometrix analysis of information sharing in social media
Social media has evolved at a rapid pace, influencing every aspect of the global community.
The purpose of this paper is to use bibliometric analysis tools to evaluate valid works on the …
The purpose of this paper is to use bibliometric analysis tools to evaluate valid works on the …
News recommendation systems-accomplishments, challenges & future directions
News publishers have decreased disseminating news through conventional newspapers
and have migrated to the use of digital means like websites and purpose-built mobile …
and have migrated to the use of digital means like websites and purpose-built mobile …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
Personalized news recommendation: Methods and challenges
Personalized news recommendation is important for users to find interesting news
information and alleviate information overload. Although it has been extensively studied …
information and alleviate information overload. Although it has been extensively studied …
The effect of news and public mood on stock movements
With technological advancements that cultivate vibrant creation, sharing, and collaboration
among Web users, investors can rapidly obtain more valuable and timely information …
among Web users, investors can rapidly obtain more valuable and timely information …
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
The recommender systems are recently becoming more significant in the age of rapid
development of the Internet technology due to their ability in making a decision to users on …
development of the Internet technology due to their ability in making a decision to users on …
Deriving market intelligence from microblogs
YM Li, TY Li - Decision Support Systems, 2013 - Elsevier
Given their rapidly growing popularity, microblogs have become great sources of consumer
opinions. However, in the face of unique properties and the massive volume of posts on …
opinions. However, in the face of unique properties and the massive volume of posts on …
Coached conversational preference elicitation: A case study in understanding movie preferences
Conversational recommendation has recently attracted significant attention. As systems
must understand users' preferences, training them has called for conversational corpora …
must understand users' preferences, training them has called for conversational corpora …
Can online exemplars trigger a spiral of silence? Examining the effects of exemplar opinions on perceptions of public opinion and speaking out
In modern media environments, social media have fundamentally altered the way how
individual opinions find their way into the public sphere. We link spiral of silence theory to …
individual opinions find their way into the public sphere. We link spiral of silence theory to …
A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0
Nowadays Digital Libraries 2.0 are mainly based on the interaction between users through
collaborative applications such as wikis, blogs, etc. or new possible paradigms like the …
collaborative applications such as wikis, blogs, etc. or new possible paradigms like the …