公开(公告)号：US10547691B2

公开(公告)日：2020-01-28

申请号：US14986950

申请日：2016-01-04

Applicant: Verint Systems Ltd.

Inventor： Ofer Weissblum

IPC: H04L29/08 ,  H04L29/06 ,  H04L29/12

Abstract: Web pages may be rendered from a main page data element and a plurality of embedded data elements, which are separately fetched by a browser. Herein is provided a web decoder which includes a learning engine adapted to receive human indications of data elements which are unimportant and accordingly to adjust the web decoder's procedures for determining which data elements are displayed to the user. The learning engine may receive human indications of important data elements and uses both types of indications in its further determinations. Optionally, rule generalizations are performed in a manner which searches for parameters which differentiate between important and unimportant data elements. The rule generalizations optionally concentrate on groups of data elements having at least a predetermined number of parameters having the same values for both important and unimportant data elements, reducing the chances that a generalization rule will find important data elements as unimportant.

公开(公告)号：US20200036799A1

公开(公告)日：2020-01-30

申请号：US16596055

申请日：2019-10-08

Applicant: Verint Systems Ltd.

Inventor： Ofer Weissblum

IPC: H04L29/08 ,  H04L29/06 ,  H04L29/12

Abstract: Web pages may be rendered from a main page data element and a plurality of embedded data elements, which are separately fetched by a browser. Herein is provided a web decoder which includes a learning engine adapted to receive human indications of data elements which are unimportant and accordingly to adjust the web decoder's procedures for determining which data elements are displayed to the user. The learning engine may receive human indications of important data elements and uses both types of indications in its further determinations. Optionally, rule generalizations are performed in a manner which searches for parameters which differentiate between important and unimportant data elements. The rule generalizations optionally concentrate on groups of data elements having at least a predetermined number of parameters having the same values for both important and unimportant data elements, reducing the chances that a generalization rule will find important data elements as unimportant.

公开(公告)号：US11196820B2

公开(公告)日：2021-12-07

申请号：US16596055

申请日：2019-10-08

Applicant: Verint Systems Ltd.

Inventor： Ofer Weissblum

IPC: G06F15/16 ,  H04L29/08 ,  H04L29/06 ,  H04L29/12 ,  G06N20/00

Abstract: Web pages may be rendered from a main page data element and a plurality of embedded data elements, which are separately fetched by a browser. Herein is provided a web decoder which includes a learning engine adapted to receive human indications of data elements which are unimportant and accordingly to adjust the web decoder's procedures for determining which data elements are displayed to the user. The learning engine may receive human indications of important data elements and uses both types of indications in its further determinations. Optionally, rule generalizations are performed in a manner which searches for parameters which differentiate between important and unimportant data elements. The rule generalizations optionally concentrate on groups of data elements having at least a predetermined number of parameters having the same values for both important and unimportant data elements, reducing the chances that a generalization rule will find important data elements as unimportant.

公开(公告)号：US20160191634A1

公开(公告)日：2016-06-30

申请号：US14986950

申请日：2016-01-04

Applicant: Verint Systems Ltd.

Inventor： Ofer Weissblum

IPC: H04L29/08 ,  H04L29/12

CPC classification number: H04L67/146 ,  G06N20/00 ,  H04L61/2596 ,  H04L63/306 ,  H04L67/02 ,  H04L67/14

Abstract: Web pages may be rendered from a main page data element and a plurality of embedded data elements, which are separately fetched by a browser. Herein is provided a web decoder which includes a learning engine adapted to receive human indications of data elements which are unimportant and accordingly to adjust the web decoder's procedures for determining which data elements are displayed to the user. The learning engine may receive human indications of important data elements and uses both types of indications in its further determinations. Optionally, rule generalizations are performed in a manner which searches for parameters which differentiate between important and unimportant data elements. The rule generalizations optionally concentrate on groups of data elements having at least a predetermined number of parameters having the same values for both important and unimportant data elements, reducing the chances that a generalization rule will find important data elements as unimportant.

Abstract translation: 网页可以从主页数据元素和由浏览器单独提取的多个嵌入数据元素呈现。 本文提供了一种网络解码器，其包括学习引擎，该学习引擎适于接收不重要的数据元素的人类指示，并因此调整网页解码器的程序以确定向用户显示哪些数据元素。 学习引擎可以接收重要数据元素的人类指示，并在其进一步确定中使用两种类型的指示。 可选地，以搜索区分重要和不重要的数据元素的参数的方式执行规则概括。 规则概括可选地集中于具有至少预定数量的具有相同值的重要和不重要数据元素的数据元素组，从而减少泛化规则将重要数据元素找到不重要的机会。