System and method for sharing information
AssigneeEmpathica Inc.
InventorsAndrew Datars, Julia Staffen
Life of this patent
Estimating the term…
Abstract
A method is provided for recommending a product to a plurality of people. The method comprises the following steps. A consumer is provided with an entry point to recommend the product. The consumer is then provided with at least one applet configured for a corresponding social network. The applet is used to create a custom recommendation personalized by the consumer, and disseminate the custom recommendation amongst the consumer's contacts within the social network. A computer readable medium including instructions for implementing the method is also provided.
Claims16
A method for recommending a product to a plurality of people, the method comprising the steps of:
- providing a consumer with an online survey to collect information about the product;
- comparing answers for at least one of a plurality of questions in the online survey with a recommendation threshold to determine whether the consumer is likely to recommend the product;
- providing the consumer with at least one applet configured for a corresponding social network only if it is determined that the consumer is likely to recommend the product;
- and
- using the applet to:
- create a custom recommendation personalized by the consumer;
- and
- disseminate the custom recommendation amongst the consumer's contacts within the social network.
A non-transitory computer readable medium having stored thereon instructions for recommending a product to a plurality of people, the instructions, when executed by a processor configured to implement the steps of:
- providing a consumer with an online survey to collect information about the product;
- comparing answers for at least one of a plurality of questions in the online survey with a recommendation threshold to determine whether the consumer is likely to recommend the product;
- providing the consumer with at least one applet configured for a corresponding social network only if it is determined that the consumer is likely to recommend the product;
- and
- using the applet to:
- create a custom recommendation personalized by the consumer;
- and
- disseminate the custom recommendation amongst the consumer's contacts within the social network.
Dependencies are inferred from the claim text.