SYSTEMS AND METHODS FOR GENERATING LOCATION-BASED GROUP RECOMMENDATIONS

• US 20130346233A1
• Filed: 06/10/2013
• Published: 12/26/2013
• Est. Priority Date: 12/07/2011
• Status: Active Grant

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: eBay Inc.
• Inventors: Caralis, Jim, Kogan, Nataly, Nakamura, Masumi, Mastroianni, Michael, Sundram, Jason
• Granted Patent: US 9,251,536 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.

Claims

1. A method for providing location-aware group recommendations, the method comprising:

receiving, at a network-based system, a group recommendation request from a mobile device associated with a first user, the group recommendation request including identification of a second user and information identifying a current location associated with at least one of the first and second users;

accessing, using one or more processors within the network-based system, user profile data associated with the first user and the second user; and

generating, using one or more processors within the network-based system, a common recommendation based on the current location and a combination of a portion of the user profile data associated with the first user and a portion of the user profile data associated with the second user.