Showing 1 - 9 of 9
We investigate the hypothesis: those consumers who have communicated with a customer of aparticular service have increased likelihood of adopting the service. We survey the diverseliterature on such quot;viral marketing,quot; providing a categorization of the specific research questionsasked,...
Persistent link: https://www.econbiz.de/10012769927
Viewers of TV shows are increasingly taking to online sites like Facebook and Twitter to comment about the shows they watch as well as to contribute content about their daily lives. We present a novel recommendation system (RS) based on the user-generated content (UGC) contributed by TV viewers...
Persistent link: https://www.econbiz.de/10014038932
Data on large dynamic social networks, such as telecommunications networks and the Internet, are pervasive. However, representing these networks in a manner that is conducive to efficient large-scale analysis is often a challenge. In this paper, we focus on the analysis task of...
Persistent link: https://www.econbiz.de/10014210496
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The increasing availability of massive data on users' online behavior presents exciting opportunities for business analytics. In particular, if we could model the distributions of interests of visitors to webpages (or websites), we could apply the result to applications including site...
Persistent link: https://www.econbiz.de/10014160776
This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding good audiences for brand advertising (as opposed to click maximizing, for example). Targeting social-network...
Persistent link: https://www.econbiz.de/10013124620
This paper demonstrates that quot;social network collaborative filteringquot; (SNCF), wherein user-selected like-minded alters are used to make predictions, can rival traditional user-to-user collaborative filtering (CF) in predictive accuracy. Us-ing a unique data set from an online community...
Persistent link: https://www.econbiz.de/10012768374
Digital technologies have made networks ubiquitous. A growing body of research is examining these networks to gain a better understanding of how firms interact with their consumers, how people interact with each other, and how current and future digital artifacts will continue to alter business...
Persistent link: https://www.econbiz.de/10014166004