Verizon Patent and Licensing Inc.

Pratik K Biswas

Aleksandr Iakubovich

Songlin Liu

A hybrid recommendation system may generate recommendations, predictions, and/or classifications by applying collaborative filtering to influence Convolutional Neural Networks ('CNNs'), Recurrent Neural Networks (“RNNs”), and/or other neural networks that model characteristic, structural, sequential, contextual, interactive, and/or other relationships from interactions of different users. The system may provide different user interactions as input to a first neural network, and the first neural network may model relationships between the different users and different items based on the interactions. The system may track activities of one or more users, may use a personalized model, that is generated via collaborative filtering of the tracked activities, together with other models of the relationships to generate a recommendation matrix, and may modify a user interface to present recommended candidate items based on recommendation matrix vectors that rank the recommended candidate items higher than other items.

Hybrid recommendation system and methods based on collaborative filtering integrated with multiple neural networks

A system may separate a transcript of a conversation into a first section corresponding to a first speaker in the conversation, and a second section corresponding to a second speaker in the conversation. The system may process, based on delimiters and punctuation marks, the first section and the second section to form a first speaker transcript and a second speaker transcript; determine, based on one or more topic models, a first set of key terms associated with the first speaker transcript and a second set of key terms associated with the second speaker transcript. The system may generate, based on a common set of key terms associated with the first set and the second of key terms, a first transcript summary of the first speaker transcript and a second transcript summary of the second speaker transcript; and generate a summary based on the first and the second transcript summaries.

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Morganville, NJ, United States of America

Pratik K Biswas