I am happy you can click my blog while my writing may be really young-age,and opinions and comments may be evidently single-faceted:)
Also, I appreciate all the support or attack comments from you, you and you.
First of all ,I want to say that I am really lucky to have this class,social networking,which is totally different with the classes provided by EE department.To me, the teach mode is fresh and challenging considering my English skill,however,challenges make the faster improvement.Fighting!
In the following, I would like to share my brain breeze with you all.
In the class on 18th night, we have discussed about social tasks,social media and social media&marketing.Those are all brand-new to me, and prediction markets of idea generation in Social Tasks area impressed me the most,because I think it has great economical value.
Hollywood Stock Exchange is an example the teacher presented."It is a web-based, multiplayer game in which players use simulated money to buy and sell "share" of actors, directors, upcoming films,and film related options. Because trading directly affects the prices of the securities- purchasing enough shares of a stock causes its price to rise, and selling causes its price to fall- and because the ultimate value of a movie stock is based on the film's box office, stock prices act as box office prediction.---Wikipedia. I think this predict statistic means a lot. It not only refers to the facial use of ranking the movies,but also can help the investor detect the updated market preferences and set the most applicable price of a movie according to the market need maximizing the profits.
I would like to share another example of prediction Markets can maximizing the profits. This example came through my mind when we were having the class, however I did not know whether it is decent to make this example. Guess it is OK to discuss about it here:)
Several months ago, I read a news on Weibo about a survey on average breast cup size in the world.(website:http://www.targetmap.com/viewer.aspx?reportId=5285) This survey statistic is from the TARGETMAP. At that time, I see this micro-blog just feeling that it is fun without noticing the economic and predicted value.
However,businessmen always get sharp sense of smell.Not long after the TARGETMAP survey,Taobao,which is the biggest online market，do a research on average breast cup in mainland.Results in below(image source: Taobao data):
I think it is not just for entertainment or eye-catching that the Taobao shopping mall made this simple survey. In my opinion, those statistics may help the businessmen decide how many brassieres of different sizes to stock,and help the manufacturers determine whether or not to build a factory in X city producing X size bra.
In a word, prediction market totally can help businessmen reduce waste and maximize the profit.I will definitely do a comprehensive research before doing business, just as an old saying that grinding a chopper will not hold up the work of cutting firewood.
--------------------I am cut-off line,tired of reading?come on!------------------
I remember in our last class, our teacher spent much time explaining the differences between item-based filtering and user-based filtering in collaborative of Derived Social Recommendation.And here, I want to make an example for each of those two filtering.
User-based filtering: You may like it because your friends liked it.
This picture screenshotted from Sina Weibo. Evidently,Weibo recommended those people to me due to the relatively big quantity of same friends.In another word, you may want to add this people because your friends added them.
INTER CUT AN ADVERTISEMENT: my Weibo account:碧爱翠丝.
Welcome to supervise,sir or madam.
Item-based filtering: You tend to like that item because you have liked those items.
This picture screenshotted from Taobao shopping mall.Obviously,Taobao recommended the other dresses to me for that most people who bought the same dresses as I buy these recommended dressed.That is to say,you may want to buy these dresses because you bought those dresses.
INTER CUT AN ADVERTISEMENT: my Weibo account:碧爱翠丝.
Welcome to supervise,sir or madam.
Item-based filtering: You tend to like that item because you have liked those items.
This picture screenshotted from Taobao shopping mall.Obviously,Taobao recommended the other dresses to me for that most people who bought the same dresses as I buy these recommended dressed.That is to say,you may want to buy these dresses because you bought those dresses.
The before-mentioned two methods of filtering can be used under different circumstances.I do not know which kind of circumstance is more suitable for any of these two methods.And it needs more comparison and investigation to get an answer.
The above is what I want to say about the last class.
And then, friendly inform you again,my lovely readers,you may meet diverse mistakes in grammar,spelling,and viewpoints in my first English blog.Please,do not let your finger do nothing.Click your keyboard,and criticize me,praise me,or add me in Weibo :)
