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US Patent 7113917 Personalized recommendations of items represented within a database

Patent 7113917 was granted and assigned to AMAZON.COM, INC. on September, 2006 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7113917
Date of Patent
September 26, 2006
Patent Application Number
09850263
Date Filed
May 7, 2001
Patent Citations Received
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US Patent 12093339 Methods and systems for providing a document
0
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US Patent 12020386 Applying pregenerated virtual experiences in new location
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US Patent 12026210 Recommendation system for providing personalized and mixed content on a user interface based on content and user similarity
0
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US Patent 12079855 Seasonality score systems and methods
0
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US Patent 11651412 Systems and methods for providing recommendations based on collaborative and/or content-based nodal interrelationships
0
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US Patent 11657417 Methods and apparatus to identify affinity between segment attributes and product characteristics
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US Patent 11687437 Assisting researchers to monitor digital health technology usage in health research studies
0
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US Patent 11693527 Adjusting an interface based on a cognitive mode
0
...
Patent Primary Examiner
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Donald L. Champagne
Patent abstract

A computer-implemented service recommends items to a user based on items previously selected by the user, such as items previously purchased, viewed, or placed in an electronic shopping cart by the user. The items may, for example, be products represented within a database of an online merchant. In one embodiment, the service generates the recommendations using a previously generated table that maps items to respective lists of “similar” items. To generate the table, historical data indicative of users' affinities for particular items is processed periodically to identify correlations between item interests of users (e.g., items A and B are similar because a large portion of those who selected A also selected B). Personal recommendations are generated by accessing the table to identify items similar to those selected by the user. In one embodiment, items are recommended based on the current contents of a user's shopping cart.

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