Comparison of Online Recommendation Functionality

Getting recommendation is more and moreand the potential defects of the products. In most
encountered in online experience. Browsing a sitecases, the defects are not fully revealed in the
may quickly bring suggestions, like Amazon, eBayproduct reviews. If customers only listen to the
and Yahoo! Sometimes the recommendations arewords from the seller sites, they may find that
made by robots. Sometimes they are made bythe purchase products are not as perfect as
real people. Who makes the recommendation iswhat was introduced. Hence a smart buyer shall
not so important. But a successfulnot rely merely on these sites to find out the
recommendation must have two points.product descriptions. They shall listen to more
1. Real experience with the recommended object.from the customers who have bought the
Recommender must know the object details andproduct and used the product for some time.
must have real experience of using the object.There are many sites to promote the sharing of
2. Honesty and objectivity. Recommender shallshopping experience and utilization experiences.
not simply say that an object is "good" or "bad".Some are based on specific product. For example,
Instead, s/he shall point out "what the good (orcarclubsusa is an online car clubs for automobile
bad) things are". Recommender shall respect theenthusiasts. Other sites are universal, like It's
truth, neither concealing the defects nordesigned to promote sharing of real user
exaggerating the capability.experiences based on all kinds of products
With more stores open online, techniques of onlinepurchased by one customer. These sites relates
recommendation also grows quickly. Internet iswith product recommendation. Users can write
good at speed and massive coverage. So it will bereview of products that s/he purchased. And
a good source for customers to refer to forthey can also give ratings to the products. To
making purchase decision. However, a site makingmake sure that the reviewers have real
recommendation must assure the above twoexperience of purchase (rather than an
points so as to survive.advertising agent in disguise), Q&A function
Amazon, eBay and Yahoo! all give productare added for the browsers. Questions can be
recommendations. At Amazon, you will find whatasked for details (e.g. price or store address) that
have been bought by readers who are interestedinterests the browsers. Since these questions are
in the same books you are browsing. On Yahoo!random, only those who have real experiences
Auto category, for example, there is Editor's Pickscan make the correct answers. As long as these
where a lot of new car reviews and auto showsquestions can be answered satisfactorily, it will not
are posted. It has Y! Groups designed to discussmatter too much even if the review was posted
for Hybrid cars, but obviously there are manyby an advertising agent because the agent has
spam messages inside. On eBay, there are Hotalready known enough about the product.
for Holiday product list and Great Finds and MoreThe non-seller nature of these sites makes it
Great Finds lists. eBay also have Community hub,unnecessary to solicit users to give good or bad
where members can meet with one another viacomments. Independency is helpful to generate
discussion boards, chat rooms, Online Workshops,objectivity. And ranking is calculated on a massive
eBay Groups, and the Answer Center forreview basis so as to avoid significant system
interactions.bias. So potential customers shall also visit these
For these sites operated by sellers, thesites to learn more about the products we are
promotional motive will lead to the bias inplanning to buy.
introducing both the advantage of the product