Patents by Inventor Hareesh Kadlabalu
Hareesh Kadlabalu 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).
-
Patent number: 11853705Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: GrantFiled: August 31, 2021Date of Patent: December 26, 2023Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Sandip Ghoshal, Nalini Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Patent number: 11604798Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: GrantFiled: December 10, 2021Date of Patent: March 14, 2023Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Sandip Ghoshal, Nalini Kanta Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Publication number: 20220100767Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: ApplicationFiled: December 10, 2021Publication date: March 31, 2022Inventors: SANDIP GHOSHAL, NALINI KANTA PATTANAYAK, VIVEK PETER, HAREESH KADLABALU
-
Publication number: 20210390108Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: ApplicationFiled: August 31, 2021Publication date: December 16, 2021Inventors: SANDIP GHOSHAL, NALINI PATTANAYAK, VIVEK PETER, HAREESH KADLABALU
-
Patent number: 11200240Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: GrantFiled: October 18, 2019Date of Patent: December 14, 2021Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Sandip Ghoshal, Nalini Kanta Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Patent number: 11163777Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: GrantFiled: September 24, 2019Date of Patent: November 2, 2021Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Sandip Ghoshal, Nalini Kanta Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Publication number: 20200125575Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: ApplicationFiled: October 18, 2019Publication date: April 23, 2020Applicant: Oracle International CorporationInventors: Sandip Ghoshal, Nalini Kanta Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Publication number: 20200125574Abstract: Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.Type: ApplicationFiled: September 24, 2019Publication date: April 23, 2020Applicant: Oracle International CorporationInventors: Sandip Ghoshal, Nalini Kanta Pattanayak, Vivek Peter, Hareesh Kadlabalu
-
Patent number: 7593960Abstract: Systems and corresponding methods are provided for determining when a content page contains out of date content items as a result of changes made to the content items, which systems comprises a template engine operative to generate a content page comprising content items that are associated with time stamp information to indicate the last time the content item was modified. One or more dependency records are generated to store information regarding the relationship between content items that comprise the content page and the content items stored in the data source, which is compared with time stamp information contained in the data source for each content item, to determine through the comparison those content pages that contain content items that have been modified in the data source, and to instruct the template engine to re-generate the content page.Type: GrantFiled: June 20, 2001Date of Patent: September 22, 2009Assignee: Fatwire CorporationInventors: Roger Kahn, Hareesh Kadlabalu
-
Publication number: 20020069204Abstract: The present invention presents a system and method editing content elements within the context of the Web page that contains the content elements. Web pages are requested from a computer serving Web pages by a client using a Web browser, the content comprising the requested page or pages being stored and managed by a database or other data store. Embedded in the requested page is a dynamic database reader (DDR), which transmits a request to a Control Program (CP) running in the server. Upon this transmission the CP queries the database for page content and returns the content to the DDR. As the requested data is received, the DDR places editorial controls in the vicinity of one or more editable content elements and passes the resultant data off to the browser to be rendered and displayed to the user.Type: ApplicationFiled: September 28, 2001Publication date: June 6, 2002Inventors: Roger Kahn, Sameer Bhargava, Hareesh Kadlabalu
-
Publication number: 20020065976Abstract: The present invention is a system and method for content management that is operative to determine when a content page contains out of date content items as a result of changes made to the content items stored in a data source. The system comprises a template engine for executing templates to generate a content page, the template engine operative to generate a content page comprising content items selectively retrieved from a data source and arranged on the content page as defined by the template, each content item in the data source being associated with time stamp information to indicate the last time the content item was modified. One or more dependency records are generated to store information regarding the relationship between content items that comprise the content page and the content items stored in the data source.Type: ApplicationFiled: June 20, 2001Publication date: May 30, 2002Inventors: Roger Kahn, Hareesh Kadlabalu