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A method and system for identifying users with a shared account

IP.com Disclosure Number: IPCOM000233999D
Publication Date: 2014-Jan-07
Document File: 4 page(s) / 1M

Publishing Venue

The IP.com Prior Art Database

Abstract

In many situations, multiple users, especially family members, shares an account of a web site for many reasons. It is hard to distinct them and then provides personalized service. In our invention, we propose a novel approach to identify users with a shared account based on their physical operating behavior patterns, like their mouse trace, navigation paths. The physical operating behavior patterns are more stable than user interests, and can be treated as a gene of the user, and then can be leveraged to distinguish different users who share the same account.

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A method and system for identifying users with a shared account

In the internet, it is very common for multiple users, especially family members, to share an account of a web site. There maybe many reasons for multiple users to share an account. If a web site asks the users to register and fill personal information before to access it, some users are lazy and may share an account to ovoid the register process. Some web site charges the users, so the family members may share the same account for saving money. Other situations like a family may share a physical device, and then share the same account.

The shared accounts bring challenges to the web site, especially when the web site tries to provide their users with personalized experience. Different users may have different and overlapped interests, it is hard for the back-end system to distinguish the users and provide appropriate personalized experience.

In our invention, we propose a novel approach to identify users with a shared account based on their physical operating behavior patterns, like their mouse trace, navigation paths. The physical operating behavior patterns are more stable than user interests, and can be treated as a "gene" of the user.

Based on the physical operating behavior patterns, distinguish different users who share the same account.

It is hard to distinguish different users based on their interests. One reason is that a user may have multiple interests (interested topics), and different...