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System and method for targeted recommendations using social gaming networks

a gaming network and targeted recommendation technology, applied in the field of targeted recommendation systems and methods using social gaming networks, can solve the problems of legacy recommendation techniques that do not leverage the unique information available in the environment of online multi-player gaming services, and achieve the effect of connecting

Inactive Publication Date: 2009-08-06
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0008]Because the first user and the second user may have an established relationship within the natural social network of an on-line multiplayer gaming environment, it is more likely that they have common interests, hobbies, beliefs, values, etc. Thus, it is more likely that a recommendation based on the preferences of a second user will be more relevant to the first user and more effective at connecting the first user with a desired product and / or service.

Problems solved by technology

However, these legacy recommendation techniques do not leverage the unique information available in the environment of an online multi-player gaming service that captures aspects of the natural social network developed within the online multi-player gaming service.

Method used

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  • System and method for targeted recommendations using social gaming networks
  • System and method for targeted recommendations using social gaming networks
  • System and method for targeted recommendations using social gaming networks

Examples

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Embodiment Construction

[0018]Certain specific details are set forth in the following description and figures to provide a thorough understanding of various embodiments. Those of ordinary skill in the relevant art will understand that they can practice other embodiments without one or more of the details described below. While various methods are described with reference to steps and sequences in the following disclosure, the description as such is for providing a clear implementation of embodiments of the invention, and the steps and sequences of steps should not be taken as required. FIGS. 1, 2 and 4-7 illustrate operating environments in which operating procedures may be performed. FIG. 3 depicts example operating procedures.

[0019]FIG. 1 illustrates using data in social networks within an online multi-player gaming environment 100 to make recommendations 122. The system comprises a computing network 108 which links a gaming server 102, e-commerce server 104, recommendation server 106, a first user's acc...

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Abstract

Systems, methods and computer readable media are disclosed for targeting a recommendation to a first user of an online multi-player gaming environment based on tracked data of a second user with which the first user has a relationship on the online multi-player gaming environment. In addition to the general system, methods and computer readable medium for such recommendations, the recommendations can be further refined by incorporating information about the first user, including how the user accesses the online multi-player gaming environment.

Description

BACKGROUND OF THE INVENTION[0001]Online multi-player services for video games such as the XBOX LIVE® service (Microsoft Corporation, Redmond, Wash.) allow gamers anywhere in the world to play with and against each other. Online multi-player services enable users to interact with each other within the gaming service.[0002]Electronic commerce systems strive to connect a user to items and / or services likely to be of interest to the user. For example, an electronic commerce system may present recommendations, suggestions, related items and / or services, or the like to the user. The user may also be shown contextual advertisements similar to the item or service being viewed.[0003]These electronic commerce systems generally use make recommendations based on the user's buying / viewing history, the clustering of purchases made by others at the site, recommendations made by strangers to the user, and the like. However, these legacy recommendation techniques do not leverage the unique informati...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): A63F9/24
CPCA63F13/12A63F2300/5506A63F2300/552A63F2300/5533A63F2300/556G07F17/3272A63F2300/572G06Q30/02G07F17/32G07F17/3223A63F2300/5566A63F13/30G06Q50/10G06Q50/01A63F13/87A63F13/795
Inventor KRISHNAMOORTHY, SHYAMMATHUR, POOJACHAUDHURI, SHAYKATMICHEL, THEODORE LUDOVICUS
Owner MICROSOFT TECH LICENSING LLC
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