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An Adaptive Web Page Recommendation Service

Proceedings of the First International Conference on Autonomous Agents (Agents'97), : 378--385, 1997.
Authors: Marko Balabanovic
Editors: Lewis W. Johnson and Barbara H. Roth
URL: http://citeseer.ist.psu.edu/balabanovic97adaptive.html
Description: bibliografia tesi
Tags: collaborative-filtering recommender-systems
Abstract: An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the "Fab" adaptive web page recommendation service. There has been much research on analyzing document content in order to improve recommendations or search results. More recently researchers have begun to explore how the similarities between users can be exploited to the same ends. The Fab system strikes a balance between these two...
| URL | BibTeX  
@inproceedings{balabanovic97adaptive,
title = {An Adaptive Web Page Recommendation Service},
address = {New York},
author = {Marko Balabanovic},
booktitle = {Proceedings of the First International Conference on Autonomous Agents (Agents'97)},
editor = {Lewis W. Johnson and Barbara H. Roth},
month = {~May--August,},
pages = {378--385},
publisher = {ACM Press},
url = {http://citeseer.ist.psu.edu/balabanovic97adaptive.html},
year = {1997},
description = {bibliografia tesi},
abstract = {An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the "Fab" adaptive web page recommendation service. There has been much research on analyzing document content in order to improve recommendations or search results. More recently researchers have begun to explore how the similarities between users can be exploited to the same ends. The Fab system strikes a balance between these two...},
citeulike-article-id = {821176}, priority = {2},
keywords = {collaborative-filtering recommender-systems }
}