Monetizing User Activity on Social Networks - Challenges and Experiences

Author(s):  
Meenakshi Nagarajan ◽  
Kamal Baid ◽  
Amit Sheth ◽  
Shaojun Wang
2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.


2011 ◽  
Vol 15 (5) ◽  
pp. 62-65 ◽  
Author(s):  
Jaehong Park ◽  
Ravi Sandhu ◽  
Yuan Cheng

2021 ◽  
Author(s):  
Vitalina Gorova

The article explores the peculiarities of the use of social networks as an accessible tool and an important component of a territorial community’s information space (on the example of library institutions of the united territorial communities in Vinnytsia region). It attempts to structure its functions and capabilities for the local library. It focuses its attention on Facebook, being the most popular of social networks, and highlights its advantages. Based on a study of the official Facebook pages/groups of the library institutions of the administrative centers of urban united territorial communities in Vinnytsia region, the subject and quality of information content were clarified. The level of communication activity of subscribers/participants was also traced. After analyzing the level of audience involvement (number of subscribers relative to the population), posting activity (number of posts per day/month), user activity (set of reactions to the publication), feedback (quick access button), we obtained data indicating an average rate of the presence of posts on the page/in the group of the local library, which testifies to the irregularity of the publications. The assessment show that local libraries do not take full advantage of Facebook. First of all, the level of audience involvement and user activity (response to posts) needs to be increased. This can be achieved by expanding the topic and improving the quality of information content, as well as working to increase the post organic reach.


2011 ◽  
Vol 15 (5) ◽  
pp. 62-65 ◽  
Author(s):  
Jaehong Park ◽  
Ravi Sandhu ◽  
Yuan Cheng

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