This week I have been asked to look at web personalisation and decide if I am for it or against it.. Many e-commerce sites use web personalisation to predict what a current customer may like to purchase next. The e-commerce site makes these predictions based on a number of personalisation techniques i.e what the customer has previously bought and related products.
Below are some examples of web personalisation from my account on trackitdown.net
The above screen shot shows some tracks that I may like based on my favorite tracks.
This Screen shot shows some tracks that have suggested that I purchased based on previous purchases I have made.
This screen shot show use of collaborative filtering. I have been suggested the following tracks based on the ratings that I have given tracks. This means that any track I have rated five star I will then be showing tracks that other customers have rated five stars.
I would say that I am very much in favor of web personalisation, not just on the trackitdown.net site but on e-commerce sites generally.
I prefer that a site does take notice of what I am purchasing and then suggest different items upon my next long in as it can save a lot of time searching through the site for a particular item. One of the main reasons I like the personalisation on the trackitdown site is that it can sometimes direct me to a track that I have been looking for but just didn’t know the name of it.
Although there are many benefits to using web personalisation there is also many disadvantages to this as well. Many customers would prefer that such information was held on there purchases. Also many sites will suggest items that have no relevance to what the customer is after and this can become annoying for customers.









