Utility-Based Link Recommendation for Online Social Networks
نویسندگان
چکیده
منابع مشابه
Utility-based Link Recommendation for Online Social Networks
Link recommendation, which suggests links to connect currently unlinked users, is a key functionality offered by major online social networks. Salient examples of link recommendation include “People You May Know” on Facebook and LinkedIn as well as “You May Know” on Google+. The main stakeholders of an online social network include users (e.g., Facebook users) who use the network to socialize w...
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With the rapid growth of event-based social networks, the demand of event recommendation becomes increasingly important. While, the existing event recommendation approaches are batch learning fashion. Such approaches are impractical for real-world recommender systems where training data often arrive sequentially. Hence, we present an online event recommendation method. Experimental results on s...
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The recommendation framework that supports the creation of new interper-sonal relationships within the social networks is presented in the paper. It integrates many sources of data in order to generate the relevant personalized recommendations for network members. The unique social filtering techniques and measures of the activity and strength of relationship are encompassed by the framework.
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xiv Declaration of Authorship xvi Note Regarding URLs xvii
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Social Media is a term that encompasses the platforms of New Media, but also implies the inclusion of systems like Facebook, and other things typically thought of as social networking. The idea is that they are media platforms with social components and public communication channels. Social media are primarily Internetbased tools for sharing and discussing information among human beings. Data m...
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ژورنال
عنوان ژورنال: Management Science
سال: 2017
ISSN: 0025-1909,1526-5501
DOI: 10.1287/mnsc.2016.2446