Patents by Inventor Mercan Topkara
Mercan Topkara 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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Patent number: 11182684Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: GrantFiled: February 9, 2016Date of Patent: November 23, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Patent number: 11182683Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: GrantFiled: February 9, 2016Date of Patent: November 23, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20160162792Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: ApplicationFiled: February 9, 2016Publication date: June 9, 2016Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20160155057Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: ApplicationFiled: February 9, 2016Publication date: June 2, 2016Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Patent number: 9342625Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.Type: GrantFiled: February 23, 2015Date of Patent: May 17, 2016Assignee: International Business Machines CorporationInventors: Yurdaer Nezihi Doganata, Mercan Topkara
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Patent number: 9292791Abstract: A system including a global topic model building module that builds a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison.Type: GrantFiled: October 24, 2012Date of Patent: March 22, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey Scott Boston, Anni Rosa Coden, Jennifer Ceil Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen Peter Wood
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Patent number: 9275332Abstract: A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison.Type: GrantFiled: October 10, 2012Date of Patent: March 1, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey Scott Boston, Anni Rosa Coden, Jennifer Ceil Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen Peter Wood
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Publication number: 20160019659Abstract: A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged.Type: ApplicationFiled: June 24, 2015Publication date: January 21, 2016Inventors: YURDAER N. DOGANATA, CHING-YUNG LIN, DAVID CORBALAN LUNA, JORDI C. MESTRE, XAVIER NOGUERA PAGES, MERCAN TOPKARA, ZHEN WEN, DANNY L. YEH
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Publication number: 20160019565Abstract: A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged.Type: ApplicationFiled: June 3, 2015Publication date: January 21, 2016Inventors: YURDAER N. DOGANATA, CHING-YUNG LIN, DAVID C. LUNA, JORDI C. MESTRE, XAVIER N. PAGES, MERCAN TOPKARA, ZHEN WEN, DANNY L. YEH
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Patent number: 9111237Abstract: An approach that evaluates an effectiveness of a monitoring system is provided. In one embodiment, there is a performance evaluation tool, including an evaluation component configured to receive visual media at a monitoring system monitored by a set of users, and evaluate a monitoring performance of the set of users in response to a simulated alert within the visual media. The performance evaluation tool further comprises an analysis component configured to predict an effectiveness of the monitoring system based on the performance of the set of users in response to the simulated alert within the visual media.Type: GrantFiled: December 1, 2008Date of Patent: August 18, 2015Assignee: International Business Machines CorporationInventors: Arun Hampapur, William D. Pfelfer, Jr., Bemice E. Rogowitz, Mercan Topkara
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Publication number: 20150169788Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.Type: ApplicationFiled: February 23, 2015Publication date: June 18, 2015Inventors: Yurdaer Nezihi Doganata, Mercan Topkara
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Patent number: 8988427Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.Type: GrantFiled: September 14, 2012Date of Patent: March 24, 2015Assignee: International Business Machines CorporationInventors: Yurdaer Nezihi Doganata, Mercan Topkara
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Patent number: 8914452Abstract: Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.Type: GrantFiled: May 31, 2012Date of Patent: December 16, 2014Assignee: International Business Machines CorporationInventors: Jeffrey S. Boston, Jennifer C. Lai, Shimei Pan, Mercan Topkara, Stephen P. Wood
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Patent number: 8786597Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.Type: GrantFiled: June 30, 2010Date of Patent: July 22, 2014Assignee: International Business Machines CorporationInventors: Yurdaer Nezihi Doganata, Mercan Topkara
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Publication number: 20140101085Abstract: A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison.Type: ApplicationFiled: October 10, 2012Publication date: April 10, 2014Applicant: International Business Machines CorporationInventors: Jie Lu, Jeffrey Scott Boston, Anni Rosa Coden, Jennifer Ceil Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen Peter Wood
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Publication number: 20140101086Abstract: A system including a global topic model building module that builds a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison.Type: ApplicationFiled: October 24, 2012Publication date: April 10, 2014Applicant: International Business Machines CorporationInventors: Jie Lu, Jeffrey Scott Boston, Anni Rosa Coden, Jennifer cell Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen Peter Wood
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Patent number: 8687941Abstract: Techniques are disclosed for automatic static summarization of videos. For example, a method of creating a static summary of a video comprises the following steps. Shots in the video are detected, wherein the detected shots are frames of the video having a correlation. The detected shots are clustered into clusters based on similarity. The clusters of shots are ranked. At least a portion of the shots are selected based on cluster ranking for inclusion in the static summary. The static summary is generated by combining thumbnail images of the selected shots. Prior to the ranking step, the method may further comprise detecting a presence of slides in any of the shots, and the ranking of a given shot is based in part on whether the shot is a slide. By way of example, such static summaries can be shared in emails and in calendar applications.Type: GrantFiled: October 29, 2010Date of Patent: April 1, 2014Assignee: International Business Machines CorporationInventors: Ahmet Emir Dirik, Jennifer Lai, Mercan Topkara
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Publication number: 20140074525Abstract: Methods and apparatus are provided for business outcome-based personalized ranking of information objects. Information objects in outcome-based business processes are ranked by recording information objects generated during a creation of the outcome-based business processes. At least one business process comprises an outcome attribute, and at least one business process comprises in-process information objects. A composite graph is generated of the information objects and business processes. Each node in the graph corresponds to an information object or a business process. Links between two of the information object nodes have a strength based on a content similarity and a social network distance. The in-process information object node connects to a corresponding business process node, and two business process nodes have a link if they are indicated as related in the business process information system.Type: ApplicationFiled: September 26, 2012Publication date: March 13, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Tina Groves, Jennifer Lai, Jie Lu, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20140074524Abstract: Business outcome-based personalized ranking of information objects is provided. Information objects in outcome-based business processes are ranked by recording information objects generated during a creation of the outcome-based business processes. At least one business process comprises an outcome attribute, and at least one business process comprises in-process information objects. A composite graph is generated of the information objects and business processes. Each node in the graph corresponds to an information object or a business process. Links between two information object nodes have a strength based on a content similarity and a social network distance. The in-process information object node connects to a corresponding business process node, and two business process nodes have a link if they are indicated as related in the business process information system. The information objects are ranked based on the link strengths.Type: ApplicationFiled: September 10, 2012Publication date: March 13, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Tina Groves, Jennifer Lai, Jie Lu, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20130325972Abstract: Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.Type: ApplicationFiled: May 31, 2012Publication date: December 5, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Jennifer C. Lai, Shimei Pan, Mercan Topkara, Stephen P. Wood