Apparatus and method for generation of an integrated data file
AssigneeClioTech Ltd
InventorGeorgia Helen Kirke
Life of this patent
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Abstract
An apparatus for generation of an integrated data file, wherein the apparatus includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive content data from a user, receive preference data from the user as a function of receipt of the content data, create a plurality of templates as a function of the preference data and the content data, receive user feedback associated with the plurality of templates, generate one or more updated templates as function of the user feedback and the plurality of templates, generate an integrated data file as a function of one or more updated templates and transmit the integrated data file to one or more content producers.
Claims20
An apparatus for generation of an integrated data file, wherein the apparatus comprises:
- at least a processor;
- and
- a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
- receive content data from a user;
- receive preference data from the user as a function of receipt of the content data;
- create a plurality of templates as a function of the preference data and the content data;
- train a preference machine learning model iteratively with preference training data, wherein the preference training data correlates a plurality of semantic data to a plurality of preference semantic data;
- modify the plurality of templates as a function of the preference machine learning model and the preference data, wherein outputs of the preference machine learning model are iteratively added to the plurality of templates;
- receive user feedback associated with the modified plurality of templates;
- generate one or more updated templates as function of the user feedback and the modified plurality of templates, wherein the user feedback and the modified plurality of templates are fed back into the preference machine learning model continuously to generate the one or more updated templates until no new user feedback is inputted;
- generate an integrated data file as a function of the one or more updated templates;
- and
- transmit the integrated data file to one or more content producers.
A method for generation of an integrated data file, wherein the method comprises:
- receiving, by at least a processor, content data from a user;
- receiving, by the at least a processor, preference data from the user as a function of receipt of the content data;
- creating, by the at least a processor, a plurality of templates as a function of the preference data and the content data;
- training a preference machine learning model iteratively with preference training data, wherein the preference training data correlates a plurality of semantic data to a plurality of preference semantic data;
- modifying the plurality of templates as a function of the preference machine learning model and the preference data, wherein outputs of the preference machine learning model are iteratively added to the plurality of templates;
- receiving, by the at least a processor, user feedback associated with the plurality of modified templates;
- generating, by the at least a processor, one or more updated templates as function of the user feedback and the plurality of modified templates, wherein the user feedback and the modified plurality of templates are fed back into the preference machine learning model continuously to generate the one or more updated templates until no new user feedback is inputted;
- generating, by the at least a processor, an integrated data file as a function of the one or more updated templates;
- and transmitting, by the at least a processor, the integrated data file to one or more content producers.
Dependencies are inferred from the claim text.