| M. Claypool, D. Brown, Le P., and M. Waseda. Inferring user interest. IEEE Internet Computing, 5(6):32--39, Nov/Dec 2001. |
....to publishers, and consumers have a convenient way to rate the news stream provided by each publisher. The paradigm can be likened to a sound mixer control panel, with a slide control for each subscription; the mixer panel is part of our WAIF browser. A prototype similar to the Curious Browser [CBPW01] which infers user interests based on a combination of explicit and implicit ratings. A consumer in WAIF can be a producer as well. If a consumer C receives a news item that C thinks is of interest to other consumers, then C can re publish this news item. Similarly, if C happens across an ....
M. Claypool, D. Brown, Le P., and M. Waseda. Inferring user interest. IEEE Internet Computing, 5(6):32--39, Nov/Dec 2001.
....page for Jokes The selection of the next document is not actually random even though the difference is not conceivable from the end user point of view. Later we shall see algorithms for next document selection. The overhead of having to select and then vote a document is well described in [17] where the authors consider implicit ways to get users feedback, like the amount of time a user spends on a specific page. 4 Assuming that the user selects the Jokes subject he sees a page like the one in Figure 2. A document has already been fetched and presented to him. On the top of ....
Claypool, M., Brown, D., Phong Le, Waseda M. Inferring User Interests, IEEE Internet Computing, November-December 2001
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