Presentation is loading. Please wait.

Presentation is loading. Please wait.

Knowledge Discovery from Users Web-Page Navigation

Similar presentations


Presentation on theme: "Knowledge Discovery from Users Web-Page Navigation"— Presentation transcript:

1 Knowledge Discovery from Users Web-Page Navigation
Cyrus Shahabi IEEE RIDE97

2 Overview Capturing client’s selected links, page orders, viewing time, and cache references. Utilizing knowledge discovery technique to cluster users with similar interests path clustering method based on the similarity of the history of user navigation.

3 Knowledge Discovery from Users Profile
The purpose is to find clusters of similar interests among the users. There will be strong correlation among the similarity of the navigation paths and similarity among the users interests.

4 The path clustering method
First, a general path feature space is characterized. Over the feature space, similarities are measured among the paths. Clustering using similarity measure.

5 Music-Magazine Yahoo Main Music Movies Crucible Evita Box Office News
External Link Movies External Link Music Box Movies Crucible Box Box Evita Crucible Evita Box Office News Books Evita Argentina Evita News Evita Jordan Box News Books

6 Examples of paths Box:43 sec Box Office Evita:52 sec News
1. Main Movies:20 sec Movies News:15 sec News Box:43 sec Box Office Evita:52 sec News Argentina:31 sec Evita:44 sec 2. Music Box:11 sec Box Office Crucible:12 sec Crucible Books:13 sec Books:19 sec 3. Main Movies:33 sec Movies Box:21 sec Box Office Evita:44 sec News Box:53 sec Box Office Evita:61 sec Evita:31 sec

7 Examples of paths 4. Main Movies:19 sec Movie News : 21 sec News Box:38 sec Box Office Evita:61 sec News Evita:24 sec Evita News : 31 sec News Argentina:19 sec Evita:39 sec 5. Movies Box:32 sec Box Office News :17sec News Jordan:64 sec Box Office Evita :19sec Evita:50 6. Main Box:17 sec Box Office Evita:33 sec News Box:41 sec Box Office Evita:54 sec Evita News:56 sec News:47

8 Path Angle & Path Clustering
where Tu(S) : total viewing time for the user u on the sub-path s

9 Path Angle & Path Clustering

10 Path Angle & Path Clustering
Path ID 1 4 3 6 2 5

11 Conclusion Important information
- access page order, link access, cache reference, and accurate viewing time Applications - Dynamic hyperlink generation, pre-fetching page, and mapping the user navigation path data to the answers for marketing purpose questions


Download ppt "Knowledge Discovery from Users Web-Page Navigation"

Similar presentations


Ads by Google