Method and apparatus for identifying common interest between social network users
US-9225788-B2 · Dec 29, 2015 · US
Social network recommended content and recommending members for personalized search results
US8949232B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8949232-B2 |
| Application number | US-201113252215-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 4, 2011 |
| Priority date | Oct 4, 2011 |
| Publication date | Feb 3, 2015 |
| Grant date | Feb 3, 2015 |
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Abstract
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Architecture that provides a data structure to facilitate personalized ranking over recommended content (e.g., documents). The data structure approximates the social distance of the searching user to the content at query time. A graph is created of content recommended by members of the social network, where the nodes of the graph include content nodes (for the content) and recommending member nodes (for members of the social network who recommended the content). If a member recommends content, an edge is created between the member node and the content node. If a member is a “friend” (tagged as related in some way) of another member, an edge is created between the two member nodes. Each node is converted to a lower dimensional feature set. Feature sets of the content are indexed and the feature set of the searching user is utilized to match and rank the search results at query time.
First claim
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What is claimed is: 1. A method, comprising: creating a graph of nodes and node relationships, the graph comprising content nodes of content recommended by members of a social network, entity nodes of the recommending members, and links between the entity nodes according to social links between associated members in the social network, each content node being configured so that the content node (i) does not link to another content node and (ii) links to only a single entity node,…
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Classifications
- H04L51/32Primary
Electricity · mapped topic
- G06F16/951Primary
Physics · mapped topic
- H04L51/52Primary
Electricity · mapped topic
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Frequently asked questions
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- What does patent US8949232B2 cover?
- Architecture that provides a data structure to facilitate personalized ranking over recommended content (e.g., documents). The data structure approximates the social distance of the searching user to the content at query time. A graph is created of content recommended by members of the social network, where the nodes of the graph include content nodes (for the content) and recommending member n…
- Who is the assignee on this patent?
- Harrington Timothy, Shenoy Rajesh, Najork Marc, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification H04L51/32. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Feb 03 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).