Patents by Inventor Emre Velipasaoglu
Emre Velipasaoglu 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: 9917751Abstract: The technology disclosed relates to understanding traffic patterns in a network with a multitude of processes running on numerous hosts. In particular, it relates to using at least one of rule based classifiers and machine learning based classifiers for clustering processes running on numerous hosts into local services and clustering the local services running on multiple hosts into service clusters, using the service clusters to aggregate communications among the processes running on the hosts and generating a graphic of communication patterns among the service clusters with available drill-down into details of communication links. It also relates to using predetermined command parameters to create service rules and machine learning based classifiers that identify host-specific services. In one implementation, user feedback is used to create new service rules or classifiers and/or modify existing service rules or classifiers so as to improve accuracy of the identification of the host-specific services.Type: GrantFiled: October 8, 2015Date of Patent: March 13, 2018Assignee: Lightbend, Inc.Inventors: Amit Sasturkar, Vishal Surana, Omer Emre Velipasaoglu, Abhinav A. Vora, Aiyesha Lowe Ma
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Publication number: 20170147418Abstract: The technology disclosed relates to building ensemble analytic rules for reusable operators and tuning an operations monitoring system. In particular, it relates to analyzing a metric stream by applying an ensemble analytical rule. After analysis of the metric stream by applying the ensemble analytical rule, quantized results are fed back for expert analysis. Then, one or more type I or type II errors are identified in the quantized results, and one or more of the parameters of the operators are automatically adjusted to correct the identified errors. The metric stream is further analyzed by applying the ensemble analytical rule with the automatically adjusted parameters.Type: ApplicationFiled: October 7, 2016Publication date: May 25, 2017Applicant: OpsClarity, Inc.Inventors: Amit SASTURKAR, Arun KEJARIWAL, Uday K. CHETTIAR, Vishal SURANA, Omer Emre VELIPASAOGLU, Dhruv Hemchand JAIN, Mohamed A. ABDELHAFEZ
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Publication number: 20170147417Abstract: The technology disclosed relates to detecting anomalous behavior of network components in a complex network setting.Type: ApplicationFiled: October 7, 2016Publication date: May 25, 2017Applicant: OpsClarity, Inc.Inventors: Amit SASTURKAR, Arun KEJARIWAL, Uday K. CHETTIAR, Vishal SURANA, Omer Emre VELIPASAOGLU, Dhruv Hemchand JAIN, Mohamed A. ABDELHAFEZ
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Publication number: 20170104636Abstract: The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.Type: ApplicationFiled: October 7, 2016Publication date: April 13, 2017Applicant: OpsClarity, Inc.Inventors: Abhinav A. VORA, Aiyesha Lowe MA, Amit SASTURKAR, Oliver KEMPE, Narayanan ARUNACHALAM, Alan NGAI, Vishal SURANA, Omer Emre VELIPASAOGLU
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Publication number: 20170102933Abstract: The technology disclosed relates to maintaining up to date software version data in a network. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections. It further relates to collecting current software version information for the processes, updating the network topology with the current software version for particular process running on a particular host when it differs from a stored software version in the network topology, reassigning the particular host to a sub-cluster within the service cluster according to the current software version, and monitoring the updated sub-cluster within the service cluster.Type: ApplicationFiled: October 7, 2016Publication date: April 13, 2017Applicant: OpsClarity, Inc.Inventors: Abhinav A. VORA, Aiyesha Lowe MA, Amit SASTURKAR, Oliver KEMPE, Narayanan ARUNACHALAM, Alan NGAI, Vishal SURANA, Omer Emre VELIPASAOGLU
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Patent number: 9514216Abstract: Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems. In an embodiment, an index of segmented portions may be used by a search engine to respond to a search query. In an embodiment, one or more machine learned models may be used to identify one or more feature properties of a plurality of segmented portions within one or more files, or otherwise inferable from the one or more files. In an embodiment, one or more machine learned models may be used to classify one or more of a plurality of segmented portions as being at least one of a plurality of segment types.Type: GrantFiled: September 8, 2014Date of Patent: December 6, 2016Assignee: Yahoo! Inc.Inventors: Lei Duan, Fan Li, Srinivas Vadrevu, Emre Velipasaoglu, Swapnil Hajela, Deepayan Chakrabarti
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Publication number: 20160352591Abstract: The technology disclosed relates to understanding traffic patterns in a network with a multitude of processes running on numerous hosts. In particular, it relates to using at least one of rule based classifiers and machine learning based classifiers for clustering processes running on numerous hosts into local services and clustering the local services running on multiple hosts into service clusters, using the service clusters to aggregate communications among the processes running on the hosts and generating a graphic of communication patterns among the service clusters with available drill-down into details of communication links. It also relates to using predetermined command parameters to create service rules and machine learning based classifiers that identify host-specific services. In one implementation, user feedback is used to create new service rules or classifiers and/or modify existing service rules or classifiers so as to improve accuracy of the identification of the host-specific services.Type: ApplicationFiled: October 8, 2015Publication date: December 1, 2016Applicant: OPSCLARITY, INC.Inventors: Amit Sasturkar, Vishal Surana, Omer Emre Velipasaoglu, Abhinav A. Vora, Aiyesha Lowe Ma
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Patent number: 9465872Abstract: Exemplary techniques are provided which may be implemented using various methods, apparatuses, and/or articles of manufacture to provide or otherwise support segment sensitive query matching based on segmented portions of web pages and/or providing related information for use in information extraction and/or information retrieval systems. In certain example implementations techniques may be provided for determining whether a query match exists between a document and obtained query terms based, at least in part, on labeled portion information associated with a plurality of segmented portions of a document.Type: GrantFiled: August 10, 2009Date of Patent: October 11, 2016Assignee: YAHOO! Inc.Inventors: Srinivas Vadrevu, Emre Velipasaoglu
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Publication number: 20160217022Abstract: The technology disclosed relates to learning how to efficiently display anomalies in performance data to an operator. In particular, it relates to assembling performance data for a multiplicity of metrics across a multiplicity of resources on a network and training a classifier that implements at least one circumstance-specific detector used to monitor a time series of performance data or to detect patterns in the time series. The training includes producing a time series of anomaly event candidates including corresponding event information used as input to the detectors, generating feature vectors for the anomaly event candidates, selecting a subset of the candidates as anomalous instance data, and using the feature vectors for the anomalous instance data and implicit and/or explicit feedback from users exposed to a visualization of the monitored time series annotated with visual tags for at least some of the anomalous instances data to train the classifier.Type: ApplicationFiled: October 7, 2015Publication date: July 28, 2016Applicant: OPSCLARITY, INC.Inventors: Omer Emre VELIPASAOGLU, Vishal Surana, Amit Sasturkar
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Patent number: 8983996Abstract: Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.Type: GrantFiled: October 31, 2011Date of Patent: March 17, 2015Assignee: Yahoo! Inc.Inventors: Larry Lai, Emre Velipasaoglu, David (Ciemo) Ciemiewicz
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Publication number: 20150066934Abstract: Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems.Type: ApplicationFiled: September 8, 2014Publication date: March 5, 2015Inventors: Lei Duan, Fan Li, Srinivas Vadrevu, Emre Velipasaoglu, Swapnil Hajela, Deepayan Chakrabarti
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Patent number: 8930338Abstract: Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.Type: GrantFiled: May 17, 2011Date of Patent: January 6, 2015Assignee: Yahoo! Inc.Inventors: Omer Emre Velipasaoglu, Umut Ozertem, Alpa Jain
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Patent number: 8918389Abstract: Search-engine software displays a group of search results in a graphical user interface (GUI) for a search engine. The search-engine software captures positive feedback and negative feedback as to the search results from a user. Then the search-engine software determines a collective aboutness signature for the search results associated with the positive feedback and a collective aboutness signature for search results associated with the negative feedback. The search-engine software obtains a score of similarity to each of the collective aboutness signatures for a representation of each query suggestion in a group of query suggestions. Then the search-engine software separates the scored query suggestions into two or more groups, based on the similarity scores, and displays query suggestions from the groups in the GUI.Type: GrantFiled: July 13, 2011Date of Patent: December 23, 2014Assignee: Yahoo! Inc.Inventor: Omer Emre Velipasaoglu
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Patent number: 8903845Abstract: The present invention is directed towards systems and methods for providing search assistance technologies based on a user's search self-efficacy and search frustration. The method according to one embodiment of the present invention comprises receiving a search query from a user. The method then calculates the user's search self-efficacy and calculates the user's frustration with the current information task. The method then identifies a plurality of search assistance technologies based on the user's search self-efficacy and frustration. Finally, the method provides a search engine results page comprising a plurality of search results and the identified plurality of search assistance technologies.Type: GrantFiled: December 23, 2010Date of Patent: December 2, 2014Assignee: Yahoo! Inc.Inventors: Henry Feild, Omer Emre Velipasaoglu, Benoit Dumoulin, Elizabeth F. Churchill, Rosemary Jones, Jeffrey Bardzell
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Patent number: 8849725Abstract: Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems.Type: GrantFiled: August 10, 2009Date of Patent: September 30, 2014Assignee: Yahoo! Inc.Inventors: Lei Duan, Fan Li, Srinivas Vadrevu, Emre Velipasaoglu, Swapnil Hajela, Deepayan Chakrabarti
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Publication number: 20130110863Abstract: Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.Type: ApplicationFiled: October 31, 2011Publication date: May 2, 2013Applicant: Yahoo! Inc.Inventors: Larry Lai, Emre Velipasaoglu, David (Ciemo) Ciemiewicz
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Publication number: 20130018872Abstract: Search-engine software displays a group of search results in a graphical user interface (GUI) for a search engine. The search-engine software captures positive feedback and negative feedback as to the search results from a user. Then the search-engine software determines a collective aboutness signature for the search results associated with the positive feedback and a collective aboutness signature for search results associated with the negative feedback. The search-engine software obtains a score of similarity to each of the collective aboutness signatures for a representation of each query suggestion in a group of query suggestions. Then the search-engine software separates the scored query suggestions into two or more groups, based on the similarity scores, and displays query suggestions from the groups in the GUI.Type: ApplicationFiled: July 13, 2011Publication date: January 17, 2013Applicant: Yahoo!, Inc.Inventor: Omer Emre Velipasaoglu
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Publication number: 20120296927Abstract: Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.Type: ApplicationFiled: May 17, 2011Publication date: November 22, 2012Applicant: Yahoo! Inc.Inventors: Omer Emre Velipasaoglu, Umut Ozertem, Alpa Jain
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Publication number: 20120296743Abstract: Method, system, and programs for providing personalized suggest-as-you-type suggestions in response to a user search query wherein the personalized query suggestions are based on the user's past interactions with the system. The system is able to identify frequent queries issued by the user that result in the user clicking on the same universal resource locator.Type: ApplicationFiled: May 19, 2011Publication date: November 22, 2012Applicant: YAHOO! INC.Inventors: Omer Emre Velipasaoglu, Umut Ozertem
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Patent number: 8255414Abstract: One embodiment selects from a set of query-suggestion pairs a first query and a subset of query-suggestion pairs that each has the first query as its query; computes a Log Likelihood Ratio (LLR) value for each query-suggestion pair from the subset of query-suggestion pairs; ranks the subset of query-suggestion pairs according to their respective LLR values; removes from the subset of query-suggestion pairs all query-suggestion pairs whose LLR values are below a predetermined LLR threshold; computes a Pointwise Mutual Information (PMI) value for each remaining query suggestion pair from the subset of query-suggestion pairs; removes from the subset of query-suggestion pairs all query-suggestion pairs whose PMI values are below a predetermine PMI threshold; and constructs a ranked set of suggestions for the first query, wherein the ranked set of suggestions comprises one or more suggestions of the remaining query-suggestion pairs from the subset of query-suggestion pairs.Type: GrantFiled: September 15, 2010Date of Patent: August 28, 2012Assignee: Yahoo! Inc.Inventors: Chi-Hoon Lee, Eric Crestan, Jiefeng Shen, Richard Allan Kasperski, Su-Lin Wu, Omer Emre Velipasaoglu, Benoit Dumoulin