Algorithm to Promote Efficiency and Accuracy of Advertisement on Social Network

Abstract:

Network Community like Sina Weibo platform and Facebook website spend much time and money into provide users with appropriate advertisements. There exits great space to improve the current situation that users receive much news they don’t like, and change the situation that server need to push news to all users who are interested in certain product. This algorithm based on Friendly Value enables server to push news to only some of the users and the rest will see them by forwarding among these users. Algorithm clarify the relationship between users. Making it like a graph. Algorithm tested more than 2,000 users from Sina Weibo using crawler, and find that, when we get a group of users who show interests in a certain product, algorithm can help to shrink this group to an accurate number of users, and by these users, the whole group will see the news of this certain product, thus decrease time and resources on server. We invented Friendly Value which reflect user’s enthusiasm on Internet in terms of publishing and making comments to help us do the research. Modified similarity is also used to find users who are interested in certain commodity but not important part in this article.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4612-4616
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4612
• Online since: May 2014
• Authors: Jun Tian*, Cheng Le, Jin Gao
• Keywords: Friendly Value, Network Community, Relationship, Similarity

References

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