Invention Grant
US07685074B2 Data mining of user activity data to identify related items in an electronic catalog
有权
数据挖掘用户活动数据,以识别电子目录中的相关项目
- Patent Title: Data mining of user activity data to identify related items in an electronic catalog
- Patent Title (中): 数据挖掘用户活动数据,以识别电子目录中的相关项目
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Application No.: US10994089Application Date: 2004-11-19
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Publication No.: US07685074B2Publication Date: 2010-03-23
- Inventor: Gregory D. Linden , Brent R. Smith , Nida K. Zada
- Applicant: Gregory D. Linden , Brent R. Smith , Nida K. Zada
- Applicant Address: US WA Seattle
- Assignee: Amazon.com, Inc.
- Current Assignee: Amazon.com, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe, Martens, Olson & Bear LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F17/30 ; G06F7/00

Abstract:
Various methods are disclosed for monitoring user browsing activities that indicate user interests in particular products, or other items, represented in an electronic catalog, and for using such information to identify items that are related to one another. In one embodiment, relationships between items within an electronic catalog are determined by identifying items that are frequently viewed by users within the same browsing session (e.g., items A and B are related because a significant portion of those who viewed A also viewed B). The resulting item relatedness data may be stored in a table that maps items to sets of related items. The table may be used to provide personalized item recommendations to users, and/or to supplement item detail pages of the electronic catalog with lists of related items. In one embodiment, the table is used to provide session-specific item recommendations to users.
Public/Granted literature
- US20050071251A1 Data mining of user activity data to identify related items in an electronic catalog Public/Granted day:2005-03-31
Information query