What else can social networking do except
from keeping in touch with friends in virtual www world? It might be a question
to all of people who concentrate on building social networking websites at the beginning.
As far as our experience in the past, we
know that we can buy things and ask questions through the Internet websites and web-forums.
In lecture 2, Prof. Chan systematically introduced us Social Tasks, Social Media
with Social Marketing. What interest me most are Open Source Development and
Social Recommendation.
Open Source Development can be included in
Social Tasks. As its name indicating, it is a kind of cooperation by putting
the open source code of software or methods into the Internet website or forum.
Any potential people or developer from all over the world can access to the
code and improve it. We have already known that CSDN (Chinese software develop
net) and Github are exactly the examples of the Open Source Development and
thanks to them, many problems in our learning process can be dealt with easily
by searching keywords and reading the documentation of code. It’s very
convenient for developing beginner to study and improve themselves.
Another interesting thing we learnt is the Social
Recommendation. We got in touch some familiar experience about it. For instance,
when we log in WeiBo or Twitter and post news, you can set the topic by using
the notation “#” to enclose the content you are writing so that
you can easily find the similar content of recommendation by clicking the topic.
Another example is the Genius of Apple App Store. You can open the Genius
option in Apple App Store and it will recommend you some great apps you might
be interested according to your downloaded apps.
Genius in App Store
The Social Recommendation seems more and
more important in social networking. It is like commercial advertisement but
much more interactive. It can search the things you like automatically and
output the results for you so that you might very likely click on them which
indeed increase the click rate even the incomes of websites. So it’s very important
to have a considerate analysis system to filter the potential recommendations.
There are three basic derived social recommendation methods as follows: User-based
filtering and Item-based filtering with Content-based filtering.
Content-based filtering method gives
recommendations by collecting the tags and keywords of items. It is mostly based
on the characteristics and preferences of items. If you like apple products
like iphone and you set the tag of apple as IT product, the recommendation won’t
return the fruit apple for you.
User-based filtering and Item-based
filtering are both Collaborative Filtering. To figure out the difference
between them, Prof. Chan used a fourth object to explain. Let’s imagine another
model that A like Apple product iphone and fruit apple while you are A’s best
friend with high correlation in favor. When you search iphone, User-based filtering method
might return you iphone and fruit apple to you by matching A’s favor. Yet
Item-based filtering method might just return you iphone and ipad because they
are highly correlated as Apple Company product.
I think that commercial websites should think
much more about the recommendation filtering methods so that they can earn more
profit from social recommendations. And to do it better, it may be a good way
to build a social networking for customers like what Taobao did.
In fact, Social Networking can do much more than Open Source Development and Social Recommendation. It can gather great ideas from all over the world as Social Brainstorming or Crowsourcing. Besides, it can record your life or ideas by Blog. To company, it's no need to mention the usage and importance of Social Commerce. In brief, Social Networking can do a lot more than we have known and we should keep digging its potential worth.