PRESENTATION OF PRODUCT RECOMMENDATIONS BASED ON SOCIAL INFORMATICS

• US 20150100454A1
• Filed: 03/07/2014
• Published: 04/09/2015
• Est. Priority Date: 10/03/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: COOK, KELLY L., DO, LYDIA M., MIN, EILEEN, WOODS, ERIC
• Granted Patent: US 9,230,278 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0619 Neutral agent
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A method, system, and/or computer program product presents product recommendations based on input derived from a user'"'"'s social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

Claims

1. A method for presenting product recommendations, the method comprising:

receiving, by one or more processors, a description of a product selected for purchase by a user;

searching, by one or more processors, a social networking site for information relevant to a characterization of the product;

characterizing, by one or more processors, the information according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product; and

presenting, by one or more processors, characterized information about the product to the user.

2. The method of claim 1, further comprising:

in response to the user receiving the characterized information about the product, receiving, by one or more processors, a user selection action from the user, wherein the user selection action causes an automatic selection of a purchase option for the user to purchase the product.

3. The method of claim 1, wherein the product is at least one of a merchandise and a service.

4. The method of claim 1, further comprising:

presenting, by one or more processors, the characterized information about the product on a social graph.

5. The method of claim 1, wherein the product is from a group of multiple products in a same category, and wherein the method further comprises:

weighting, by one or more processors, each product recommendation for each of the multiple products to generate weighted product recommendations; and

aggregating, by one or more processors, the weighted product recommendations for each of the multiple products to generate an aggregated weighted recommendation for each of the multiple products.

6. The method of claim 5, wherein the weighted product recommendations are based on (i) a person who recommended a specific product, (ii) how recently the specific product was acquired by the person who recommended the specific product, (iii) a strength of a social connection between the person who recommended the specific product and the user, and (iv) an expertise of the person who recommended the specific product to the user.

7. The method of claim 5, wherein presenting characterized information about the product to the user further comprises:

identifying, by one or more processors, a highest weighted product that has a highest aggregated weighted recommendation relative to other products in the same category; and

presenting, by one or more processors, the highest weighted product and the highest weighted product recommendation to the user.