Interception of user's interests on the web

被引：0
|
作者：
Barla, Michal [1 ]
机构：
[1] Slovak Univ Technol Bratislava, Fac Informat & Informat Technol, Inst Informat & Software Engn, Bratislava 84216, Slovakia
来源：
ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS, PROCEEDINGS | 2006年 / 4018卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Current adaptive systems acquire information about users mainly by simple tracking of resources, a user has requested and by asking users to supply the needed information. In this paper, we discuss user modeling based on observing a user's interaction with the system. We propose to collect usage data on the server side as well as on the client side. Collected data are then processed into knowledge about user's intentions and preferences. This processing relies on a set of heuristics, which help to interpret the usage patterns found in the collected data.
引用
收藏
页码：435 / 439
页数：5
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