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公开(公告)号：US10019533B2
公开(公告)日：2018-07-10
申请号：US14718901
申请日：2015-05-21
Applicant: Avast Software B.V.
Inventor： Shaul Levi , Shareen Racke-Bodha , Jessica Downey , Or Hiltch
IPC: G06F17/30
CPC classification number: G06F16/9577 , G06F16/9535 , G06F16/957 , G06F16/986
Abstract: Methods and systems for administering a browser store for computing device web browser applications, particularly browsers featuring tabbed viewing of web pages. A qualifying trigger event, such as a change in the current active tab of the browser, or a navigation to a URL in the active tab, is detected by an exemplary system. The system, having been monitoring user interaction with the browser's tabs, regulates the browser store such that, upon detecting a trigger event, only data (e.g., cookies) pertaining to the web site whose web page is presently displayed in the browser's active tab is retained. Any other data unrelated to the web site is copied to a virtual memory for future reference and purged from the browser store. Additionally, any data pertaining to the web site that may have been previously transferred to the virtual memory is retrieved therefrom and relocated to the browser store. Moreover, any such data retrieved from the virtual memory that require updating, e.g., upon request or instruction by the site's web server, is updated or replaced as appropriate.
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公开(公告)号：US10417270B2
公开(公告)日：2019-09-17
申请号：US15715583
申请日：2017-09-26
Applicant: Avast Software B.V.
Inventor： Shaul Levi , Valery Kholodkov , Yuval Ben-Itzhak
Abstract: In a system for extracting policy information from text, a processor analyzes if the text is relevant to a top-level category, and then determines if at least a portion of the text is relevant to categories and subcategories within a taxonomy of categories and subcategories related to the top-level category. If at least a portion of the text is determined to be relevant to the category/subcategory, a classifier extracts policy information associated with the category/subcategory. Using text that includes a known policy the classifiers can be trained to correctly recognize categories/subcategories, and the values associated therewith.
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公开(公告)号：US20180081967A1
公开(公告)日：2018-03-22
申请号：US15715583
申请日：2017-09-26
Applicant: Avast Software B.V.
Inventor： Shaul Levi , Valery Kholodkov , Yuval Ben-Itzhak
CPC classification number: G06F16/345 , G06F16/21 , G06F16/353 , G06K9/00442
Abstract: In a system for extracting policy information from text, a processor analyzes if the text is relevant to a top-level category, and then determines if at least a portion of the text is relevant to categories and subcategories within a taxonomy of categories and subcategories related to the top-level category, If at least a portion of the text is determined to be relevant to the category/subcategory, a classifier extracts policy information associated with the category/subcategory, Using text that includes a known policy the classifiers can be trained to correctly recognize categories/subcategories, and the values associated therewith.
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