Web personalization using implicit input

Simple item page
dc.contributor.authorPan, Yih Jyh
dc.date.accessioned2014-11-17T02:51:01Z
dc.date.available2014-11-17T02:51:01Z
dc.date.issued2007
dc.descriptionMasteren_US
dc.description.abstractThe growing importance of the World Wide Web in our lives has intensified the studies on personalization. These studies on personalization generally make use of explicit information, e.g. rating an item to know the interests or disinterests of users. However, this method of obtaining information is intrusive on the users. As a result, users often shy away from updating their likes and dislikes. Consequently, their latest interests are not known. Hence, my work seeks to look for an alternative way to obtain input from users in a less obtrusive manner, namely implicit input. From my studies, majority of the researches of the use of implicit input are focusing on capturing positive interests of users. However, the disinterests of users are often neglected. This intrigues me to find out the possibility of using implicit input to capture the disinterests of users as well. Hence, I categorize my selection of implicit input into two groups: (a) positive interest indicators, viz. view, book-mark, add-to-cart, and purchase, and (b) negative interest indicators, viz. skip, delete book-mark, delete from cart. A simulated online shopping mall is used in my work to observe and gather information from my users. I am able to come to a conclusion that implicit input is indicative of user interests, but there is no clear support to show that implicit input can be suitably used to reflect the disinterests of users. In the final part of my methodology, I adopted a few strategies of inferring feedback ratings from implicit input, that I embrace could be applied to replace explicit user ratings. As a result, I demonstrate that the list of implicit input studied in my work can be used to generate tangible output, which in turn can be helpful in predicting user interests.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/533
dc.language.isoenen_US
dc.subjectComputer Scienceen_US
dc.subjectWeb personalizationen_US
dc.titleWeb personalization using implicit inputen_US
dc.typeThesisen_US
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Pusat Pengajian Sains Komputer - Tesis