Among those topics, I would like to study social recommendation. Social media has changed the way to do traditional marketing and even online marketing. Users nowadays are able to publish and express their views and publish information online with Web 2.0. Oftentimes, this information requires a human perspective to process, for example indicate preference, quote alternative sources, categorize, add supporting materials and assessment of quality. This facilitates the potential users to consider, consume, and apply the information about a product and service. It makes social network users easily to refer to particular ratings and items and to redistribute these opinions to others.
Why do people choose your product? How do potential customers locate your goods? How to convert browsers into buyers?
Reputation! Customers trust opinions and buyers who share their interest. Currently, customers do a lot of research online before making a big buying decision. The comments and reviews of previous customers play a more and more powerful role for retailers and e-commerce sites. As Internet is a chaotic information universe, social reviews and recommendation become more useful for consumers and more profitable for e-retailers.
However, the proliferation of user-generated content and the associated metadata on social multimedia sites introduces new challenges in search, for example unstructured data, vulnerability to spam and noise, short lifespan, much of the content offers little value to the general public. What is worse, some malicious users deliberately post misleading information on social multimedia sites. According to the recent news, Apple app store China branch is now heavily suffering the harassment of so-called Internet mercenaries. Those Internet mercenaries post fake comments on certain apps and push them to the Top popular ones. Now Apple users in China can not trust the recommended apps by Apple store, because those apps very likely cheat by employing the Internet mercenaries.
That is the dilemma of social recommendation. How to utilize its merits and prevent from malicious recommendation is such a big challenge.
That is the dilemma of social recommendation. How to utilize its merits and prevent from malicious recommendation is such a big challenge.

