Venue prediction based on ranking
US9047316B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2013 |
| Grant date | Jun 2, 2015 |
| Priority date | — |
| Expiry date | May 18, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique is disclosed for presenting possible check-in venues to a mobile device user, such as for the purpose of checking in with social networking services such as Foursquare. The disclosed technique operates by training a model during an initial training sequence. The trained model, representing a learned hypothesis, describes venues that are ranked according to their relevance to users who are also described by the model. During a subsequent run-time sequence, the system receives real-time geolocation data that represents users, wherein the data includes user geolocation and the level of accuracy of the geolocation. The system generates a set of candidate venues, ranks the generated candidate venues by applying the learned hypothesis, which can be dependent on the level of accuracy, and presents the user with the ranked venues as possible check-in venues. The user can then select the venue actually being checked into from the presented check-in venues.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.