JOINT EMBEDDING OF CORPUS PAIRS FOR DOMAIN MAPPING
First Claim
1. A system, comprising:
- a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise;
a first learning component that;
generates a first embedded representation of a profile term of first profile terms associated with a user identity profile, via a trained model, wherein the first terms are associated with the user identity profile of a first domain corpus;
a second learning component that;
generates a second embedded representation of second terms, associated with a second domain corpus, via the trained model;
an identification component that;
compares the profile term to the second terms to determine an affinity value based on a joint embedding of the first embedded representation and the second embedded representation, resulting in a comparison data; and
a joint embedding component that;
based on the affinity value, generates display data associated with the comparison data for display via a webpage.
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Accused Products
Abstract
Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding. The scoring the joint embedding affinity comprises: transforming the embedded representation of the first keyword and the embedded representation of the second keywords via the trained model; determining an affinity value based on comparing the first keyword to the second keywords; and based on the affinity value, aggregating the joint embedding of the embedded representation of the first keyword and the embedded representation of the second keywords within the second domain corpus.
3 Citations
20 Claims
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1. A system, comprising:
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a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise; a first learning component that; generates a first embedded representation of a profile term of first profile terms associated with a user identity profile, via a trained model, wherein the first terms are associated with the user identity profile of a first domain corpus; a second learning component that; generates a second embedded representation of second terms, associated with a second domain corpus, via the trained model; an identification component that; compares the profile term to the second terms to determine an affinity value based on a joint embedding of the first embedded representation and the second embedded representation, resulting in a comparison data; and a joint embedding component that; based on the affinity value, generates display data associated with the comparison data for display via a webpage. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer program product for generating display data for a web page, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable to:
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generate a first embedded representation of a profile term of the first terms, associated with a user identity profile, via a trained model, wherein the first terms are associated with the user identity profile of a first domain corpus; generate a second embedded representation of second terms, associated a second domain corpus, via the trained model; compare the profile term to the second terms to determine an affinity value based on a joint embedding of the first embedded representation and the second embedded representation, resulting in a comparison data; and based on the affinity value, generate display data associated with the comparison data for display by a webpage. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer-implemented method, comprising:
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generating, by a device operatively coupled to a processor, a first embedded representation of a profile term of the first terms, associated with a user identity profile, via a trained model, wherein the first terms are associated with the user identity profile of a first domain corpus; generating, by the device, a second embedded representation of second terms, associated a second domain corpus, via the trained model; comparing, by the device, the profile term to the second terms to determine an affinity value based on a joint embedding of the first embedded representation and the second embedded representation, resulting in a comparison data; and based on the affinity value, generating, by the device, display data associated with the comparison data for display by a webpage. - View Dependent Claims (17, 18, 19, 20)
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Specification