System and method for inferring user interest based on analysis of user-generated metadata
US8707160B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 10, 2006 |
| Grant date | Apr 22, 2014 |
| Priority date | — |
| Expiry date | Jan 28, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/02
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
User-generated tags from viewing web-based content are collected over a predetermined period of time. A subset of distinct or unique tags is identified from among the collected tags. A z-score is calculated for each identified distinct tag, where the z-score is a measure of the statistical significance of the tag. The subset of distinct tags is then sorted based on their corresponding z-score. All distinct tags having a corresponding z-score lower than a predetermined threshold are rejected and the remaining distinct tags, having a corresponding z-score higher than the threshold are used to infer a user's interest. The ability to infer a user's interests from the remaining distinct tags may thus benefit web-based applications by achieving a high degree of accuracy in predicting the interests of users by leveraging on the use of the user generated content tags and keywords.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.