SocialNews: Enhancing Online News Recommendations by Leveraging Social Network Information ; CU-CS-1084-11
نویسندگان
چکیده
SocialNews seeks to enhance the news results returned by online news services such as Google News or Bing News by leveraging social networking information to provide more relevant results to the user. For example, Facebook profiles contain a wealth of information about the user’s interests, hobbies, personal history, and friends. We describe a system that analyzes the content in a user’s social networking profile, and provides more targeted news recommendations based on Facebook information such as hometown, strength of social ties, user similarity, etc. Preliminary assessment of the system is presented.
منابع مشابه
SocialNews: Enhancing Online News Recommendations By Leveraging Social Network Information
SocialNews seeks to enhance the news results returned by online news services such as Google News or Bing News by leveraging social networking information to provide more relevant results to the user. For example, Facebook profiles contain a wealth of information about the user’s interests, hobbies, personal history, and friends. We describe a system that analyzes the content in a user’s social...
متن کاملTransient News Crowds in Social Media
Users increasingly inform themselves of the latest news through online news services. This is further accentuated by the increasingly seamless integration of social network platforms such as Twitter and Facebook into news websites, allowing easy content sharing and distribution. This makes online social network platforms of particular interest to news providers. For instance, online news produc...
متن کاملThe Role of Online Social Networks in Users' Everyday-Life Information Seeking
Background and Aim: Considering the increasing number of users who interact with online social networks, it can be inferred that these networks have become an essential part of users' lives and play different roles in their everyday life. Therefore, the present study aims to explore the role of these networks in users' everyday-life information seeking. Method: This research is an applied resea...
متن کاملA Bayesian Treatment of Social Links in Recommender Systems ; CU-CS-1092-12
Recommender systems are increasingly driving user experiences on the Internet. This personalization is often achieved through the factorization of a large but sparse observation matrix of user-item feedback signals. In instances where the user's social network is known, its inclusion can significantly improve recommendations for cold start users. There are numerous ways in which the network can...
متن کاملPrivacy as information access and illusory control: The case of the Facebook News Feed privacy outcry
Increasingly, millions of people, especially youth, post personal information in online social networks (OSNs). In September 2006, one of the most popular sites—Facebook.com—introduced the features of News Feed and Mini Feed, revealing no more information than before, but resulting in immediate criticism from users. To investigate the privacy controversy, we conducted a survey among 172 current...
متن کامل