Dynamic valuation system using object relationships and composite object data
US-2024427780-A1 · Dec 26, 2024 · US
Tailoring user experience for unrecognized and new users
US9507830B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9507830-B2 |
| Application number | US-201414206880-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 12, 2014 |
| Priority date | Mar 13, 2013 |
| Publication date | Nov 29, 2016 |
| Grant date | Nov 29, 2016 |
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Abstract
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A system stores a table mapping users to attributes, and stores a second table mapping the users to products associated with a source domain. The system determines a set of top scoring products for each of the attributes, and creates, using the top scoring products, a model that is predictive of an activity in a target domain, the target domain being separate from the source domain. The system detects a behavior from a particular user accessing the target domain, and generates a personalized prediction for the particular user based on the model, in response to the detecting the behavior.
First claim
Opening claim text (preview).
What is claimed is: 1. A method comprising: storing a first table mapping first users to attributes; storing a second table mapping the second users to products associated with a source domain; joining the first table with the second table on user to find attributes and top scoring products for the source domain for each of third users, the third users being common to the first users and the second users; creating a model that is predictive, using an attribute for the source…
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Physics · mapped topic
- G06F16/24578Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US9507830B2 cover?
- A system stores a table mapping users to attributes, and stores a second table mapping the users to products associated with a source domain. The system determines a set of top scoring products for each of the attributes, and creates, using the top scoring products, a model that is predictive of an activity in a target domain, the target domain being separate from the source domain. The system …
- Who is the assignee on this patent?
- Google Inc
- What technology area does this patent fall under?
- Primary CPC classification G06F16/24578. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Nov 29 2016 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).