Patents by Inventor Chad Brower
Chad Brower 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: 20240150395Abstract: The present disclosure relates to methods and systems for the continuous production of recombinant proteins. In particular embodiments, the disclosure relates to methods and systems using capture chromatography, post-capture chromatography, virus filtration, and ultrafiltration/diafiltration for the continuous production of recombinant proteins.Type: ApplicationFiled: January 18, 2024Publication date: May 9, 2024Inventors: Michael Coolbaugh, Tarl Vetter, Chad Varner, Kevin Brower
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Publication number: 20240101945Abstract: Systems and devices for producing biological products and methods of using the same are provided. An example universal skid includes a rigid support and a plurality of flow-channel hardware sets. Each flow-channel hardware set couples with a respective flow channel of a plurality of flow channels for unit operations. The flow-channel hardware sets allow the flow channels to operate in parallel or in series for continuous processing over the unit operations. An example modular assembly includes one or more single-use kits for one or more unit operations and a universal skid coupled with the one or more single-use kits. An example manufacturing system includes multiple modular assemblies coupled with each other allowing continuous processing within each modular assembly, in between the modular assemblies, fully continuous processing across multiple unit operations.Type: ApplicationFiled: September 28, 2023Publication date: March 28, 2024Inventors: Kevin Brower, Michael Coolbaugh, Xhorxhi Gjoka, Chad Varner, Jason Walther
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Patent number: 11912741Abstract: The present disclosure relates to methods and systems for the continuous production of recombinant proteins. In particular embodiments, the disclosure relates to methods and systems using capture chromatography, post-capture chromatography, virus filtration, and ultrafiltration/diafiltration for the continuous production of recombinant proteins.Type: GrantFiled: April 1, 2020Date of Patent: February 27, 2024Assignee: GENZYME CORPORATIONInventors: Michael Coolbaugh, Tarl Vetter, Chad Varner, Kevin Brower
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Patent number: 9760907Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: GrantFiled: January 11, 2013Date of Patent: September 12, 2017Assignee: EXCALIBUR IP, LLCInventors: John Canny, Shi Zhonog, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Publication number: 20170140424Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: ApplicationFiled: January 11, 2013Publication date: May 18, 2017Applicant: YAHOO! INC.Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Publication number: 20140200999Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: ApplicationFiled: January 11, 2013Publication date: July 17, 2014Applicant: YAHOO! INC.Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Publication number: 20130253993Abstract: Micro-donations are received from users for various items of content published by different content providers. The micro-donations are aggregated into the user accounts and the content provider accounts until a transaction condition is satisfied. When the transaction condition is satisfied for the user account, a process to collect the micro-donation amount contributed by a respective user to different content providers is effectuated. When the transaction condition is satisfied for a content provider account, the micro-donation amount received from different users and aggregated within the content provider account is provided to the respective content provider. Various user and content provider incentives are implemented to encourage participation by the users and the content providers.Type: ApplicationFiled: March 22, 2012Publication date: September 26, 2013Applicant: Yahoo! Inc.Inventor: Chad Brower
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Publication number: 20130253994Abstract: Micro-donations are received from users for various items of content published by different content providers. The micro-donations are aggregated into the user accounts and the content provider accounts until a transaction condition is satisfied. When the transaction condition is satisfied for the user account, a process to collect the micro-donation amount contributed by a respective user to different content providers is effectuated. When the transaction condition is satisfied for a content provider account, the micro-donation amount received from different users and aggregated within the content provider account is provided to the respective content provider. Various user and content provider incentives are implemented to encourage participation by the users and the content providers.Type: ApplicationFiled: April 17, 2012Publication date: September 26, 2013Applicant: Yahoo! Inc.Inventors: Chad Brower, Arpita Ghosh, David M. Pennock, Randolph Preston McAfee
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Patent number: 8364627Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: GrantFiled: January 31, 2011Date of Patent: January 29, 2013Assignee: Yahoo! Inc.Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Publication number: 20110131160Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: ApplicationFiled: January 31, 2011Publication date: June 2, 2011Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Patent number: 7921069Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: GrantFiled: June 28, 2007Date of Patent: April 5, 2011Assignee: Yahoo! Inc.Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John
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Publication number: 20110015999Abstract: Embodiments of the present invention provide for methods, systems and computer program products for utilizing a lattice structure in an advertisement serving system. The method according to one embodiment of the present invention comprises storing one or more advertisement contracts in a lattice structure. A request for one or more advertisements that satisfy one or more constraints is then received and within the lattice structure, a lowest level of one or more pools of advertisement contracts satisfying the one ore more constraints is located. A set of advertisement contracts is generated, wherein the set of advertisement contracts comprise one or more advertisement contracts from lowest level of the lattice structure. The method further comprises adding to the set of advertisement contracts advertisement contracts from the pools of advertisement contracts that are parent to the pools of contracts in the lowest level of the lattice structure.Type: ApplicationFiled: July 14, 2009Publication date: January 20, 2011Applicant: YAHOO! INC.Inventors: Sergei Vassilvitskii, Erik Vee, Jayavel Shanmugasundaram, Srinivasan Rajagopal, Ramana Yerneni, Chad Brower
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Publication number: 20110016109Abstract: A method for indexing advertising contracts for rapid retrieval and matching in order to match only the top N satisfying contracts to advertising slots. Descriptions of advertising contracts include logical predicates indicating weighted applicability to a particular demographic. Descriptions of advertising slots also contain logical predicates indicating weighted applicability to particular demographics, thus matches are performed on the basis of a weighed score of intersecting demographics. Disclosed are structure and techniques for receiving a set of contracts with weighted predicates, preparing a data structure index of the set of contracts, receiving an advertising slot with weighted predicates, and retrieving from the data structure only the top N weighted score contracts that satisfy a match to the advertising slot predicates.Type: ApplicationFiled: July 14, 2009Publication date: January 20, 2011Inventors: Sergei Vassilvitskii, Ramana Yerneni, Javavel Shanmugasundaram, Erik Vee, Chad Brower, Steven Whang
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Publication number: 20100262607Abstract: A method for indexing advertising contracts for rapid retrieval and matching in order to match satisfying contracts to advertising slots. The descriptions of the advertising contracts include logical predicates indicating applicability to a particular demographic. Also, the descriptions of advertising slots contain logical predicates indicating applicability to a particular demographic, thus matches can be performed using at least matches on the basis of intersecting demographics. The disclosure contains structure and techniques for receiving a set of contracts with predicates, preparing a data structure index of the set of contracts, receiving an advertising slot with predicates, and structure and techniques for retrieving from the data structure contracts that satisfy a match to the advertising slot predicates.Type: ApplicationFiled: April 10, 2009Publication date: October 14, 2010Inventors: Sergei Vassilvitskii, Ramana Yerneni, Jayavel Shanmugasundaram, Erik Vee, Chad Brower, Steven Whang
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Patent number: 7814109Abstract: A system and method to facilitate automatic categorization of events in a network, wherein one or more keywords are retrieved from a keyword database, each retrieved keyword matching a corresponding event unit of an event input by a user over a network. A dominant keyword corresponding to a highest parameter value calculated for each retrieved keyword is then selected. Finally, the event is categorized based on one or more categories associated with the dominant keyword. The dominant keyword may be selected based on one or more keyword categories associated with each retrieved keyword and an ambiguity parameter value calculated for each keyword. Alternatively, the dominant keyword may be selected based on a highest-ranked output value calculated for each retrieved keyword. One or more categories associated with the dominant keyword are subsequently retrieved from the keyword database and the event is categorized based on the category associated with the dominant keyword.Type: GrantFiled: March 29, 2006Date of Patent: October 12, 2010Assignee: Yahoo! Inc.Inventors: Chad Brower, Shyam Kapur, Brian Coppola, Joshua M. Koran, Jignashu Parikh
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Publication number: 20100094881Abstract: The present invention is directed to systems and methods for identifying compatible advertisement contracts to satisfy an advertisement opportunity. The systems and methods include receiving a number of attribute values associated with a user accessing a network-based location. The systems and methods include sorting an index of lists for a plurality of advertisement contracts on the basis of a number of contract term values. The systems and methods include traversing the index of lists to return a set advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include selecting a given advertisement contract from the set of advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include presenting an advertisement associated with the given advertisement contract on a display viewable by the user accessing the network-based location.Type: ApplicationFiled: September 30, 2008Publication date: April 15, 2010Applicant: YAHOO! INC.Inventors: Chad Brower, Ramana Yerneni, Erik Vee, Serguei Vassilvitskii, Jayavel Shanmugasundaram
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Publication number: 20100082424Abstract: Subject matter disclosed herein relates to a system for managing online resources, and in particular, to a system using an offline process to optimize the management of such online resources.Type: ApplicationFiled: September 30, 2008Publication date: April 1, 2010Applicant: Yahoo! Inc.Inventors: Ramana Yerneni, Chad Brower, Srinivasan Rajagopal, Jayavel Shanmugasundaram, Erik Vee
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Publication number: 20100082404Abstract: Generally, embodiments of the present invention provide for methods, systems and computer program products for utilizing date constraints in an advertisement serving system. The method according to one embodiment of the present invention comprises receiving a request for one or more advertisements that satisfy one or more constraints. A set of advertisement contracts is generated, wherein the set of advertisement contracts comprise one or more advertisement contracts that satisfy the one or more constraints. The contractual time period for a given advertisement contract in the set of advertisement contracts is then determined. A subset of advertisement contracts is then generated, wherein the subset of advertisement contracts comprises the advertisement contracts in the set of advertisement contracts that are active on a given date. The subset of advertisement contracts is then inputted into an optimization algorithm and one or more advertisement contracts are selected by the optimization algorithm.Type: ApplicationFiled: September 30, 2008Publication date: April 1, 2010Applicant: YAHOO! INC.Inventors: Chad Brower, Ramana Yerneni, Erik Vee, Serguei Vassilvitskii, Jayavel Shanmugasundaram
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Publication number: 20100082412Abstract: The present invention is directed to a system and method for optimizing an advertisement plan for allocating advertisements to a contract in a network-based environment. The system and method includes determining a shadow price for an advertisement placement where the advertisement placement is associated with a user having defined characteristics. The system and method includes determining a contract price for the advertisement placement relative to a plurality of advertisement contracts for the user having the defined characteristics. The system and method includes determining an advertisement plan for allocating an advertisement to a given contract on the basis of the shadow price and the contract price. The system and method includes presenting a given advertisement associated with the given contract according to the advertisement plan on network-based output.Type: ApplicationFiled: September 30, 2008Publication date: April 1, 2010Applicant: YAHOO! INC.Inventors: Chad Brower, Ramana Yerneni, Erik Vee, Serguei Vassilvitskii, Jayavel Shanmugasundaram, Danny Zhang, Srinivasan Rajagopal
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Publication number: 20090006363Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.Type: ApplicationFiled: June 28, 2007Publication date: January 1, 2009Inventors: John Canny, Shi Zhong, Scott Gaffney, Chad Brower, Pavel Berkhin, George H. John