Monetizing User Activity on Social Networks
نویسندگان
چکیده
In this work, we investigate techniques to monitize user activity on public forums, marketplaces and groups on social network sites. Our approach involves (a) identifying the monetization potential of user posts and (b) eliminating offtopic content in monetizable posts to use the most relevant keywords for advertising. Our first user study involving 30 users and data from MySpace and Facebook, shows that 52% of ad impressions shown after using our system were more targeted compared to the 30% relevant impressions generated without using our system. A second smaller study suggests that profile ads that are based on user activity generate more interest than ads solely based on profile information.
منابع مشابه
Generation of Targeted Advertisements for Online Social Networks
Generating targeted advertisements for online social networks is a problem of growing interest. Monetizing activity in online social networks has been the topic of heated discussion lately. The undiscriminating tastes and spending power of a majority of its members makes this medium for self-expression and opinion sharing a very lucrative venue for advertising. The recent $240 million investmen...
متن کاملThe complex problem of monetizing virtual electronic social networks
Available online 15 May 2009
متن کاملA social recommender system based on matrix factorization considering dynamics of user preferences
With the expansion of social networks, the use of recommender systems in these networks has attracted considerable attention. Recommender systems have become an important tool for alleviating the information that overload problem of users by providing personalized recommendations to a user who might like based on past preferences or observed behavior about one or various items. In these systems...
متن کاملTrust Classification in Social Networks Using Combined Machine Learning Algorithms and Fuzzy Logic
Social networks have become the main infrastructure of today’s daily activities of people during the last decade. In these networks, users interact with each other, share their interests on resources and present their opinions about these resources or spread their information. Since each user has a limited knowledge of other users and most of them are anonymous, the trust factor plays an import...
متن کاملPrediction of user's trustworthiness in web-based social networks via text mining
In Social networks, users need a proper estimation of trust in others to be able to initialize reliable relationships. Some trust evaluation mechanisms have been offered, which use direct ratings to calculate or propagate trust values. However, in some web-based social networks where users only have binary relationships, there is no direct rating available. Therefore, a new method is required t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008