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Location and event based contact suggestions

IP.com Disclosure Number: IPCOM000244224D
Publication Date: 2015-Nov-24
Document File: 2 page(s) / 52K

Publishing Venue

The IP.com Prior Art Database

Abstract

This article proposes a way to improve the suggestions of contacts gained through networking. At large conferences or company events a given social network user will meet many new acquaintances. By using GPS location information, Wi-Fi connection and Calendar information we can determine attendees of a given event, or people that are in the local area. When signing in to a social network whilst at the event, or soon after, suggested contacts could be calculated using the collected information.

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Location and event based contact suggestions

When attending conferences and networking events it is very common to want to 'connect' with attendees following the events through social networks to maintain

communication and keep up to date with their careers. Quite regularly it is required to know a person's e-mail address, or full names when wanting to connect at a later date. Sometimes, especially at events where you meet a lot of new people, this information is not retained and so it can be difficult to connect afterwards.

    This article proposes a way to improve the suggestions of contacts gained through networking. At large conferences or company events a given social network user will meet many new acquaintances. By using GPS location information, Wi-Fi connection and Calendar information we can determine attendees of a given event, or people that are in the local area. When signing in to a social network whilst at the event, or soon after, suggested contacts could be calculated using the collected information.

    This improves upon known prior art as it targets the contacts that are more likely to want to connect with than they would be currently presented with. Additionally, it makes connecting with people that you have recently met easier on social networks where you require an e-mail address for the user or if you need their full name, but may not be able to remember it.

Priority Calculation

    Using the user's GPS, WiFi connection and Calendar Entries we can determine whether two users are in the same place and attending the same event. If the user is connected to the same Router and their GPS says that they are in the same place, this would be a high priority suggestion. A slightly lower priority suggestion would be if two users were deemed to be in a similar location through GPS and connected onto the same Wi-Fi, but through a different router, i.e. they are possibly at the same site, but not at the same event.

    Text analysis can be used on any calendar entri...