Patents by Inventor Ofer Ron
Ofer Ron has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240194180Abstract: Implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform engage in corresponding conversations with additional users. In various implementations, the unstructured free-form natural language input implicitly defines a corresponding dialog state map (e.g., defines corresponding dialog states and/or corresponding dialog state transitions) without defining any explicit dialog states and/or explicit dialog state transitions. In other implementations, the unstructured free-form natural language input is assigned to explicit dialog states and/or explicit dialog state transitions. Nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or primed a machine learning model that is already capable of being utilized in conducting generalized conversations.Type: ApplicationFiled: December 8, 2022Publication date: June 13, 2024Inventors: Sasha Goldshtein, Yoav Tzur, Asaf Aharoni, Ofer Ron
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Publication number: 20240185834Abstract: Implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform task(s) associated with an entity and on behalf of the user. In various implementations, the unstructured free-form natural language input conveys details of the task(s) to be performed, but does not define any corresponding dialog state map (e.g., does not define any dialog states or any dialog state transitions). Nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or prime a machine learning model that is already capable of being utilized in conducting generalized conversations. As a result, the chatbot can be generated and deployed in a quick and efficient manner for performance of the task(s) on behalf of the user.Type: ApplicationFiled: December 5, 2022Publication date: June 6, 2024Inventors: Asaf Aharoni, Eyal Segalis, Sasha Goldshtein, Ofer Ron, Yaniv Leviathan, Yoav Tzur
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Publication number: 20240146668Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.Type: ApplicationFiled: January 3, 2024Publication date: May 2, 2024Inventors: Asaf Aharoni, Eyal Segalis, Ofer Ron, Sasha Goldshtein, Tomer Amiaz, Razvan Mathias, Yaniv Leviathan
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Patent number: 11902222Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.Type: GrantFiled: February 8, 2021Date of Patent: February 13, 2024Assignee: GOOGLE LLCInventors: Asaf Aharoni, Eyal Segalis, Ofer Ron, Sasha Goldshtein, Tomer Amiaz, Razvan Mathias, Yaniv Leviathan
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Patent number: 11870934Abstract: Systems, methods, and computer program products include smart capacity workload routing with workload modeling. One example involves storing a workload model in memory regarding a set of different factors associated with user communications, with each factor is associated with a measurement of workload. A received request including information regarding one or more of the factors is processed and used in identifying a workload measurement for the requested user communication based on comparing the received request information to the stored workload model. An agent with capacity that is available to handle the requested user communication is identified. A communication slot for the identified agent is activated and defined by the identified workload measurement, and the request is routed to the identified agent and updating available workload capacity in the system.Type: GrantFiled: May 20, 2022Date of Patent: January 9, 2024Assignee: LIVEPERSON, INC.Inventors: Shlomo Lahav, Leor Gruendlinger, Ofer Ron, Yehiel Cohen, Liran Shaked
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Publication number: 20230351255Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.Type: ApplicationFiled: May 12, 2023Publication date: November 2, 2023Applicant: LIVEPERSON, INC.Inventors: Shlomo LAHAV, Ofer RON
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Patent number: 11763148Abstract: The present disclosure relates generally to facilitating routing of communications. One example includes a communication server determining capacities associated with a terminal devices based on workloads for agents associated with the terminal devices. Historical acceptance data is accessed for past interaction invitations to user devices associated with one or more criteria. Current data is then used to determine available interactions and to facilitate interactions using interaction invitations based on the historical data and the current number of available interactions.Type: GrantFiled: June 18, 2021Date of Patent: September 19, 2023Assignee: LIVEPERSON, INC.Inventors: Vadim Milman, Itamar Keller, Shachar Hendel, Tomer Ben-David, Amihay Zer-Kavod, Yariv Lukach, Leor Gruendlinger, Ofer Ron, Shlomo Lahav
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Patent number: 11763200Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.Type: GrantFiled: November 22, 2021Date of Patent: September 19, 2023Assignee: LIVEPERSON, INC.Inventors: Shlomo Lahav, Ofer Ron
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Publication number: 20230098620Abstract: In some embodiments, a set of user groups can be defined, with each group relating to a different webpage experience, user action, etc. Requests are assigned to one of the groups based on actual webpage presentation features and/or user actions. A group-specific model is generated for each group and translates user information to a preliminary result (e.g., a purchasing probability). A model combination includes a weighted combination of a set of available group-specific models. User information is processed using the model combination to generate a model result. The model result is evaluated to determine whether a requested webpage is to be customized in a particular manner and/or an opportunity is to be offered.Type: ApplicationFiled: June 6, 2022Publication date: March 30, 2023Applicant: LIVEPERSON, INC.Inventors: Shlomo Lahav, Ofer Ron, David Shimon
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Publication number: 20230030146Abstract: Systems, methods, and computer program products include smart capacity workload routing with workload modeling. One example involves storing a workload model in memory regarding a set of different factors associated with user communications, with each factor is associated with a measurement of workload. A received request including information regarding one or more of the factors is processed and used in identifying a workload measurement for the requested user communication based on comparing the received request information to the stored workload model. An agent with capacity that is available to handle the requested user communication is identified. A communication slot for the identified agent is activated and defined by the identified workload measurement, and the request is routed to the identified agent and updating available workload capacity in the system.Type: ApplicationFiled: May 20, 2022Publication date: February 2, 2023Applicant: LIVEPERSON, INC.Inventors: Shlomo Lahav, Leor Gruendlinger, Ofer Ron, Yehiel Cohen, Liran Shaked
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Publication number: 20220414502Abstract: Systems and methods can be provided for predicting responses during communication sessions with network devices. In some implementations, systems and methods can facilitate predicting responses using machine learning techniques. Messages received through a platform can be stored in a repository. A machine learning model may be trained using the stored messages. When a terminal device is communicating with a network device in a communication session, the messages exchanged in the communication session and the machine learning model can be used to predict future responses in real-time. The predicted future responses can be presented at the terminal device. A predicted response can be selected at the terminal device. Upon selection, the selected predicted response is transmitted to the network device during the communication session.Type: ApplicationFiled: September 2, 2022Publication date: December 29, 2022Applicant: LIVEPERSON, INC.Inventors: Ofer Ron, Eran Vanounou, Gali Konky, Seetvun Amir
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Patent number: 11468344Abstract: Systems and methods can be provided for predicting responses during communication sessions with network devices. In some implementations, systems and methods can facilitate predicting responses using machine learning techniques. Messages received through a platform can be stored in a repository. A machine learning model may be trained using the stored messages. When a terminal device is communicating with a network device in a communication session, the messages exchanged in the communication session and the machine learning model can be used to predict future responses in real-time. The predicted future responses can be presented at the terminal device. A predicted response can be selected at the terminal device. Upon selection, the selected predicted response is transmitted to the network device during the communication session.Type: GrantFiled: May 4, 2018Date of Patent: October 11, 2022Assignee: LIVEPERSON, INC.Inventors: Ofer Ron, Eran Vanounou, Gali Konky, Seetvun Amir
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Publication number: 20220292395Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.Type: ApplicationFiled: November 22, 2021Publication date: September 15, 2022Applicant: LIVEPERSON, INC.Inventors: Shlomo LAHAV, Ofer RON
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Publication number: 20220255885Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.Type: ApplicationFiled: February 8, 2021Publication date: August 11, 2022Inventors: Asaf Aharoni, Eyal Segalis, Ofer Ron, Sasha Goldshtein, Tomer Amiaz, Razvan Mathias, Yaniv Leviathan
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Patent number: 11386442Abstract: In some embodiments, a set of user groups can be defined, with each group relating to a different webpage experience, user action, etc. Requests are assigned to one of the groups based on actual webpage presentation features and/or user actions. A group-specific model is generated for each group and translates user information to a preliminary result (e.g., a purchasing probability). A model combination includes a weighted combination of a set of available group-specific models. User information is processed using the model combination to generate a model result. The model result is evaluated to determine whether a requested webpage is to be customized in a particular manner and/or an opportunity is to be offered.Type: GrantFiled: April 4, 2014Date of Patent: July 12, 2022Assignee: LIVEPERSON, INC.Inventors: Shlomo Lahav, Ofer Ron, David Shimon
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Patent number: 11368589Abstract: Systems, methods, and computer program products include smart capacity workload routing with workload modeling. One example involves storing a workload model in memory regarding a set of different factors associated with user communications, with each factor is associated with a measurement of workload. A received request including information regarding one or more of the factors is processed and used in identifying a workload measurement for the requested user communication based on comparing the received request information to the stored workload model. An agent with capacity that is available to handle the requested user communication is identified. A communication slot for the identified agent is activated and defined by the identified workload measurement, and the request is routed to the identified agent and updating available workload capacity in the system.Type: GrantFiled: October 12, 2020Date of Patent: June 21, 2022Assignee: LIVEPERSON, INC.Inventors: Shlomo Lahav, Leor Gruendlinger, Ofer Ron, Yehiel Cohen, Liran Shaked
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Patent number: 11263548Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.Type: GrantFiled: June 14, 2016Date of Patent: March 1, 2022Assignee: LIVEPERSON, INC.Inventors: Shlomo Lahav, Ofer Ron
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Publication number: 20220044115Abstract: The present disclosure relates generally to facilitating routing of communications. One example includes a communication server determining capacities associated with a terminal devices based on workloads for agents associated with the terminal devices. Historical acceptance data is accessed for past interaction invitations to user devices associated with one or more criteria. Current data is then used to determine available interactions and to facilitate interactions using interaction invitations based on the historical data and the current number of available interactions.Type: ApplicationFiled: June 18, 2021Publication date: February 10, 2022Applicant: LIVEPERSON, INC.Inventors: Vadim Milman, Itamar Keller, Shachar Hendel, Tomer Ben-David, Amihay Zer-Kavod, Yariv Lukach, Leor Gruendlinger, Ofer Ron, Shlomo Lahav
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Patent number: 11068783Abstract: The present disclosure relates generally to facilitating routing of communications. One example includes a communication server determining capacities associated with a terminal devices based on workloads for agents associated with the terminal devices. Historical acceptance data is accessed for past interaction invitations to user devices associated with one or more criteria. Current data is then used to determine available interactions and to facilitate interactions using interaction invitations based on the historical data and the current number of available interactions.Type: GrantFiled: August 13, 2020Date of Patent: July 20, 2021Assignee: LIVEPERSON, INC.Inventors: Vadim Milman, Itamar Keller, Shachar Hendel, Tomer Ben-David, Amihay Zer-Kavod, Yariv Lukach, Leor Gruendlinger, Ofer Ron, Shlomo Lahav
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Publication number: 20210105362Abstract: Examples are described of smart capacity workload routing. One example involves storing a workload model in memory regarding a set of different factors associated with user communications, with each factor is associated with a measurement of workload. A received request including information regarding one or more of the factors is process and used in identifying a workload measurement for the requested user communication based on comparing the received request information to the stored workload model, and identifying an agent with capacity that is available to handle the requested user communication. A communication slot for the identified agent is activated and defined by the identified workload measurement. The request is then routed to the identified agent and updating available workload capacity in the system.Type: ApplicationFiled: October 12, 2020Publication date: April 8, 2021Applicant: LIVEPERSON, INC.Inventors: Shlomo Lahav, Leor Gruendlinger, Ofer Ron, Yehiel Cohen, Liran Shaked