Invention Grant
- Patent Title: Machine learning-based literary work ranking and recommendation system
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Application No.: US14657931Application Date: 2015-03-13
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Publication No.: US10366343B1Publication Date: 2019-07-30
- Inventor: Giovanni Zappella
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe Martens Olson & Bear LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L29/08 ; G06F16/951

Abstract:
A system ranks and/or recommends literary works based on information extracted from the text of the literary works. For example, the system may use information extracted from the text of a literary work to generate a graph representing the relationships of entities in the literary work. The system may identify sub-graphs in the graph, and generate a signature based on the values associated with the various sub-graphs. The system may generate signatures of a plurality of literary works. The system may then retrieve the signature of a literary work that was highly rated by a user, and compare the retrieved signature with other generated signatures using machine-learning algorithms to select literary works to recommend to the user.
Information query