Collecting Information About Users:
There are five basic approaches to user identification: software agents, logins, enhanced proxy servers, cookies, and session ids.
This places no burden on the user at all. However, if the user uses more than one computer, each location will have a separate cookie, and thus a separate user profile. Also, if the computer is used by
more than one user, and all users share the same local user id, they will all share the
same, inaccurate profile.
Methods for User Information Collection
Commercial systems have been exploring customization for some time. Many
sites collect user preferences in order to customize interfaces. This customization can
be viewed as the first step to provide personalized services on the Web. Many of the
systems described in Section 2.4 rely on explicit user information. The collection of
preferences for each user can be seen as a user profile and the services provided by
these applications adapt in order to improve information accessibility. For instance,
MyYahoo! [110], explicitly ask the user to provide personal information that is stored
to create a profile. The Web site content is then automatically organized based on the
user’s preferences
Comparing Implicit and Explicit User Information Collection
They found that the richer the amount of information available, the better the profile performed. In particular, they found that the user profile built from the user’s entire desktop index (the set of
all information created, copied, or viewed by the user) was most accurate, followed
by the profile built from recent information only, then that based on Web pages
only.
User Profile Construction：
The
profile is then refined as the user browses via a browsing agent and provides further
feedback on Web pages proposed by ifWeb. Keywords are extracted from each of the
pages receiving user feedback
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