Patents by Inventor Benny Lin
Benny Lin 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: 20230252324Abstract: An IP-to-Domain (IP2D) resolution system predicts which domain is most likely associated with an IP address. The resolution system generates unique source vote features (FSV) from (IP, domain, source) data. The FSV features are used to train a machine learning model that predicts which domain is most likely associated with an IP address. The domain predictions can then be used to more efficiently process events, more accurately calculate consumption scores, and more accurately detect associated company surges.Type: ApplicationFiled: April 17, 2023Publication date: August 10, 2023Applicant: Bombora, Inc.Inventors: Erik G. Matlick, Robert James Armstrong, Benny Lin, Nicholaus Eugene Halecky, Will Kurt, Nishann Mann, Julia Kruk
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Publication number: 20230232052Abstract: The present disclosure describes a content consumption monitor (CCM) that determines surges in content consumption based on changes in content consumptions scores. The CCM determines the content consumptions scores for domains and/or organizations (orgs) based on session events generated by different devices/users from the org and/or domain, a number of events generated by the org/domain, content and/or user interactions with the content indicated by the events, relevancy scores of the content to one or more topics, and/or other criteria. The CCM detects surges in consumption or interest in a topic for the domain/org when the consumption score reaches a threshold and/or within a period of time. The CCM may adjust the consumption score based on the changes in the relevancy, number of events and/or the number of users over different time periods. Other embodiments may be described and/or claimed.Type: ApplicationFiled: February 13, 2023Publication date: July 20, 2023Applicant: BOMBORA, INC.Inventors: Oleg Valentin KHAVRONIN, Benny LIN, Anthony LIVHITS, Erik Gregory MATLICK, Christian Michael BURTON, Robert James ARMSTRONG, Nicholaus E. HALECKY
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Patent number: 11631015Abstract: An IP-to-Domain (IP2D) resolution system predicts which domain is most likely associated with an IP address. The resolution system generates unique source vote features (FSV) from (IP, domain, source) data. The FSV features are used to train a computer learning model that predicts which domain is most likely associated with an IP address. The domain predictions can then be used to more efficiently process events, more accurately calculate consumption scores, and more accurately detect associated company surges.Type: GrantFiled: September 10, 2020Date of Patent: April 18, 2023Assignee: Bombora, Inc.Inventors: Erik G. Matlick, Nicholaus Eugene Halecky, Benny Lin
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Patent number: 11589083Abstract: Disclosed embodiments include a content consumption monitor (CCM) determines surges in content consumption based on changes in content consumptions scores. The CCM determines the content consumptions scores for domains and/or organizations (orgs) based on session events generated by different devices/users from the org and/or domain, a number of events generated by the org/domain, content and/or user interactions with the content indicated by the events, relevancy scores of the content to one or more topics, and/or other criteria. The CCM detects surges in consumption or interest in a topic for the domain/org when the consumption score reaches a threshold and/or within a period of time. The CCM may adjust the consumption score based on the changes in the relevancy, number of events and/or the number of users over different time periods. Other embodiments may be described and/or claimed.Type: GrantFiled: March 1, 2021Date of Patent: February 21, 2023Assignee: BOMBORA, INC.Inventors: Oleg Valentin Khavronin, Benny Lin, Anthony Livhits, Erik Gregory Matlick, Christian Michael Burton, Robert James Armstrong
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Patent number: 11556942Abstract: A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.Type: GrantFiled: September 14, 2020Date of Patent: January 17, 2023Assignee: BOMBORA, INC.Inventors: Anthony Livhits, Cynthia Huynh, Hassan Ahmed, Benny Lin, Robert Armstrong, Erik Matlick, Mark Herschberg
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Publication number: 20220279220Abstract: Disclosed embodiments include a content consumption monitor (CCM) determines surges in content consumption based on changes in content consumptions scores. The CCM determines the content consumptions scores for domains and/or organizations (orgs) based on session events generated by different devices/users from the org and/or domain, a number of events generated by the org/domain, content and/or user interactions with the content indicated by the events, relevancy scores of the content to one or more topics, and/or other criteria. The CCM detects surges in consumption or interest in a topic for the domain/org when the consumption score reaches a threshold and/or within a period of time. The CCM may adjust the consumption score based on the changes in the relevancy, number of events and/or the number of users over different time periods. Other embodiments may be described and/or claimed.Type: ApplicationFiled: March 1, 2021Publication date: September 1, 2022Applicant: BOMBORA, INC.Inventors: Oleg Valentin KHAVRONIN, Benny LIN, Anthony LIVHITS, Erik Gregory MATLICK, Christian Michael BURTON, Robert James ARMSTRONG
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Publication number: 20220230078Abstract: Disclosed embodiments includes a network classification system (NCS) that generates a set of machine learning (ML) features from information about information objects accessed by various users, and determines an organization (org) type associated with the network address based on the set of ML features. Obtained network events may include the information about the accessed information objects. A content consumption monitor (CCM) generates consumption scores for the network addresses based on the identified org types. The CCM can generate more accurate intent and consumption data by filtering out events unrelated to content consumption for that org type. The NCS and the CCM may be implemented as the same network function, or the NCS and CCM may be implemented as separate network functions. Other embodiments may be described and/or claimed.Type: ApplicationFiled: January 20, 2021Publication date: July 21, 2022Applicant: BOMBORA, INC.Inventors: Erik Gregory MATLICK, Robert James ARMSTRONG, Benny LIN, Nicholaus Eugene HALECKY, Will KURT
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Publication number: 20220188699Abstract: Disclosed embodiments include a resource classification system (RCS) identifies one or more features in information objects (InObs) and uses the features to classify the InObs. The features may be based on structural semantics of the InObs, content semantics of InObs, content interaction behavior with the InObs, types of users accessing the InObs, and/or the like. The RCS may generate vectors that represent the different features. The vectors may be used to train a machine learning model to predict resource classifications of the InObs. The predicted resource classifications provide more accurate intent, consumption, and surge score predictions than existing solutions. Other embodiments may be described and/or claimed.Type: ApplicationFiled: March 11, 2021Publication date: June 16, 2022Applicant: BOMBORA, INC.Inventors: Erik G. MATLICK, Robert J. ARMSTRONG, Nicholaus E. HALECKY, Benny LIN
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Publication number: 20220188700Abstract: Disclosed embodiments include a distributed hyperparameter (HP) tuning system, which includes a manager and a plurality of trainers. The manager continuously estimates HP sets for a machine learning (ML) model and distributes each HP set to respective trainers. Each trainer obtains a respective HP set and trains a local version of the ML model using the respective HP set. Each trainer determines a performance value for an HP sets used to train its local version of the ML model, and sends the performance value and the HP set to the manager. The manager estimates a new HP set from the HP set received from each trainer. The HP set estimation continues until convergence takes place. Other embodiments may be described and/or claimed.Type: ApplicationFiled: April 7, 2021Publication date: June 16, 2022Applicant: BOMBORA, INC.Inventors: Oleg Valentin KHAVRONIN, Benny LIN, Anthony LIVHITS, Erik Gregory MATLICK, Christian Michael BURTON, Robert James ARMSTRONG
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Publication number: 20210073661Abstract: An IP-to-Domain (IP2D) resolution system predicts which domain is most likely associated with an IP address. The resolution system generates unique source vote features (FSV) from (IP, domain, source) data. The FSV features are used to train a computer learning model that predicts which domain is most likely associated with an IP address. The domain predictions can then be used to more efficiently process events, more accurately calculate consumption scores, and more accurately detect associated company surges.Type: ApplicationFiled: September 10, 2020Publication date: March 11, 2021Applicant: Bombora, Inc.Inventors: Erik G. Matlick, Nicholaus Eugene Halecky, Benny Lin
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Publication number: 20200410514Abstract: A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.Type: ApplicationFiled: September 14, 2020Publication date: December 31, 2020Applicant: BOMBORA, INC.Inventors: Anthony LIVHITS, Cynthia HUYNH, Hassan AHMED, Benny LIN, Robert ARMSTRONG, Erik MATLICK, Mark HERSCHBERG
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Patent number: 10810604Abstract: A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.Type: GrantFiled: February 20, 2018Date of Patent: October 20, 2020Assignee: BOMBORA, INC.Inventors: Anthony Livhits, Cynthia Huynh, Hassan Ahmed, Benny Lin, Robert Armstrong, Erik Matlick, Mark Herschberg
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Publication number: 20190294642Abstract: A website classification system identifies one or more features in websites and uses the features to classify the websites. The website classification system may generate features identifying structural semantics of webpages, content semantics of webpages, content interaction behavior with the webpages, or types of users accessing the webpages. The website classification system may generate vectors that represent the different features. A first set of vectors from classified websites are used for training a computer learning model. Vectors from unclassified websites are then fed into the trained learning model to predict a particular website classification. The predicted website classifications provide more accurate intent, consumption, and surge score predictions.Type: ApplicationFiled: June 7, 2019Publication date: September 26, 2019Inventors: Erik G. Matlick, Robert J. Armstrong, Nicholaus Eugene Halecky, Benny Lin
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Publication number: 20190050874Abstract: A content consumption monitor (CCM) receives events identifying how and when users access content. The CCM may identify internet protocol (IP) addresses associated with the events and determine types of establishments associated with the IP addresses based on how the users access the content at the IP addresses. The CCM may generate consumption scores for the IP addresses based on the identified types of establishments. For example, the CCM can generate consumption scores for IP addresses associated with private business locations. The CCM can generate more accurate intent and consumption data by filtering out events unrelated to company content consumption.Type: ApplicationFiled: October 17, 2018Publication date: February 14, 2019Inventors: Erik Gregory MATLICK, Robert James ARMSTRONG, Benny LIN, Nicholaus Eugene HALECKY, Will KURT
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Publication number: 20180174163Abstract: A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.Type: ApplicationFiled: February 20, 2018Publication date: June 21, 2018Inventors: Anthony LIVHITS, Cynthia HUYNH, Hassan AHMED, Benny LIN, Robert ARMSTRONG, Erik MATLICK, Mark HERSCHBERG
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Patent number: 9940634Abstract: A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.Type: GrantFiled: September 26, 2014Date of Patent: April 10, 2018Assignee: BOMBORA, INC.Inventors: Anthony Livhits, Cynthia Huynh, Hassan Ahmed, Benny Lin, Robert Armstrong, Erik Matlick, Mark Herschberg
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Publication number: 20170364931Abstract: A distributed model generation system includes a master node that estimates parameter sets for a topic classification (TC) model. The estimated parameter sets are loaded into a queue. Multiple training nodes download the estimated parameter sets from the queue for training associated TC models. The training nodes generate model performance values for the trained TC models and send the model performance values back to the master node. The master node uses the model performance values and the associated parameter sets to estimate additional TC model parameter sets. The master node estimates new parameter sets until a desired model performance value is obtained. The master node may use a Bayesian optimization to more efficiently estimate the parameter sets and may distribute the high processing demands of model training and testing operations to the training nodes.Type: ApplicationFiled: August 29, 2017Publication date: December 21, 2017Inventors: Oleg Valentin Khavronin, Benny Lin, Anthony Livhits, Erik Gregory Matlick, Christian Michael Burton, Robert James Armstrong
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Publication number: 20160132906Abstract: A content consumption monitor (CCM) identifies events from a domain, a number of the events, content associated with the events, and a relevancy of the content to a topic. The CCM may generate a consumption score for the domain and topic based on the number of events and the relevancy of the content to the topic. The CCM may identify domain surges for the topic when the consumption score reaches a threshold. The CCM may adjust the consumption score based on the changes in the relevancy, number of events and/or the number of users over different time periods. The consumption scores not only identify companies interested in different topics but also identifies consumption surges that indicate when the companies are most receptive to direct contacts regarding those topics.Type: ApplicationFiled: December 28, 2015Publication date: May 12, 2016Applicant: Bombora, Inc.Inventors: Oleg Valentin KHAVRONIN, Benny LIN, Anthony LIVHITS, Erik Gregory MATLICK, Christian Michael BURTON, Robert James ARMSTRONG
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Publication number: 20110188252Abstract: A lamp has a casing, a heat sink, a thermal tape, an LED module, two cables, a convex lens and a mounting collar. The heat sink, thermal tape and LED module are mounted in the casing. The cables are connected to the LED module and each cable has a stationary cable section, a detachable cable section and a cable connector assembly. The cable connector assembly is mounted between the stationary and detachable cable sections and selectively detaches the detachable cable section from the stationary cable section. The convex lens and mounted collar are mounted in the casing. The cable connector assembly facilitates the replacement of the LED module.Type: ApplicationFiled: March 15, 2010Publication date: August 4, 2011Inventor: Benny Lin
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Patent number: D641504Type: GrantFiled: January 10, 2010Date of Patent: July 12, 2011Inventor: Benny Lin