公开(公告)号：US20180365212A1

公开(公告)日：2018-12-20

申请号：US15623668

申请日：2017-06-15

Applicant: OATH INC.

Inventor： Siddhartha BANERJEE ,  Prakhar BIYANI ,  Kostas TSIOUTSIOULIKLIS

IPC: G06F17/27 ,  H04L29/08 ,  H04L12/58

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used. As result, the regular chatbot response is rewritten using an optimized set of patterns.

公开(公告)号：US20190121850A1

公开(公告)日：2019-04-25

申请号：US16217195

申请日：2018-12-12

Applicant: OATH INC.

Inventor： Siddhartha BANERJEE ,  Prakhar BIYANI ,  Kostas TSIOUTSIOULIKLIS

IPC: G06F17/27 ,  H04L12/58 ,  H04L29/08

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used. As result, the regular chatbot response is rewritten using an optimized set of patterns.

公开(公告)号：US20220121549A1

公开(公告)日：2022-04-21

申请号：US17072849

申请日：2020-10-16

Applicant: Oath Inc.

Inventor： Sanika SHIRWADKAR ,  Kostas TSIOUTSIOULIKLIS ,  Rao SHEN

IPC: G06F11/34 ,  G06K9/62

Abstract: The instant system and methods solves the cold start problem through various systems and methods directed to aggregating user interaction data associated with a user over a period of time, scoring the user interaction data to determine at least one user interest relevance score and/or at least one surfacing user interest score for each of the plurality of user interaction types, wherein the scoring includes a time sensitive weighting scheme, and generating a user interest profile partition for each of the plurality of user interaction types based on the at least one user interest relevance score and/or the at least one surfacing user interest score.