Nicholas Kushmerick, James McKee, and Fergus Toolan. Towards zero-input personalization: Referrer-based page prediction. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 2000.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....adaptive link augmentation can also be provided across any hypermedia web page that the user visits. This paper focuses on the extraction and analysis of a user s spatial context through a non proxy agent based architecture. Spatial context has been referred to elsewhere as the browsing context [16]. A method is presented for obtaining this information and using it as the basis of a linkbase filtering algorithm. A linkbase is simply a database of links and the filter results in a single active linkbase that contains a set of context dependent links. These links can be dynamically inserted ....

....user views a related page, it replaces any known word or phrase with a hyperlink from the KB. If the user clicks on this hyperlink, a further information dialog box pops up on the client s machine offering additional resources (like word definitions or links to external web pages) The PWW system [16] offers an approach to implicit (zero input) personalization that is similar to the one taken in this paper. The system described by Kushmerick et al. is a server side system that offers recommendations to pages in the web site based on the URL and or content of the referring page. User ....

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Kushmerick, N., McKee, J. and Toolan, F. (2000). "Towards Zero-Input Personalization: Referrer-Based Page Prediction". P. Brusilovsky, O. Stock, C. Strapparava (Eds.): Adaptive Hypermedia and Adaptive Web-Based Systems International Conference, AH 2000, Trento, Italy, August 2000, pp. 133-143

....Information contained in Web server access logs can be used in several directions that have received relatively little attention so far although access logs are heavily used for analyses proposes. For example, it has recently been suggested to use referral information for personalization purposes [Kushmerick et al. 2000]. Personalization means that different users of a Web site see different information as the presentation of the information is adapted to the supposed interests of individual users. Kushmerick et al. use keywords provided as referral information to present information on a Web site that has been ....

Kushmerick, N., McKee, J., and Toolan, F. (2000). Toward zero-input personalization: Referrer-based page recommendation. Poster at the International Conference on Adaptive Hypermedia and Adaptive Web-based Systems. http://cs-www.ucd.ie/staff/nick/ research/research/download/kushmerick-www9/poster/.

....in terms of traits the system will recognize (age, grade in a course, sex, favorite TV program, performance on an online test, etc) before the system can present them with the appropriate information. To gain this user profile data, the system must either watch users interact with the system [6], or ask the user for a variety of information either before the user proceeds into the site or regularly evaluate the user [13] during visitation. A combination of these methods can also be used. In each case, the adaptive system will select which links a user may have available, which content ....

Kushmerick, Nicholas James McKee, and Fergus Toolan. Towards Zero-Input Personalization: Referrer-Based Page Prediction. P. Brusilovsky, O. Stock, C. Strapparava (Eds.) Adaptive Hypermedia and Adaptive Web-Based Systems International Conference, AH

....Information contained in Web server access logs can be used in several directions that have received relatively little attention so far although access logs are heavily used for analyses proposes. For example, it has recently been suggested to use referral information for personalization purposes [5]. Personalization means that different users of a Web site see different information as the presentation of the information is adapted to the supposed interests of individual users. Kushmerick et al. use keywords provided as referral information to present information on a Web site that has been ....

N. Kushmerick, J. McKee, and F. Toolan. Toward zero-input personalization: Referrer-based page recommendation. Poster at the International Conference on Adaptive Hypermedia and Adaptive Web-based Systems, 2000. http://cs-www.ucd.ie/staff/nick/ research/research/download/kushmerickwww9 /poster/.

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Nicholas Kushmerick, James McKee, and Fergus Toolan. Towards zero-input personalization: Referrer-based page prediction. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 2000.

No context found.

Nicholas Kushmerick, James McKee, and Fergus Toolan. Towards zero-input personalization: Referrer-based page prediction. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 2000.

No context found.

Nicholas Kushmerick, James McKee, and Fergus Toolan. Towards zero-input personalization: Referrer-based page prediction. In Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, 2000.

No context found.

N.Kushmerick,J.McKee,andF.Toolan.Towards zero-input personalization: Referrer-based page prediction.InP.Brusilovsky,O.Stock,and C. Strapparava, editors, Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems International Conference (AH 2000.

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