System and method to facilitate classification and storage of events in a network
First Claim
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1. A computer-implemented method comprising:
- receiving, by a processor, a web page and web page content information associated with the web page;
classifying, by a processor, said web page content information to a content category of a hierarchical content taxonomy based on a theme of the web page content information;
receiving, by a processor, an advertisement and an advertisement content associated with the advertisement;
classifying, by a processor, said advertisement to an advertisement category of a hierarchical advertising taxonomy based on a theme of the advertisement content;
generating, by a processor, a mapping probability table to associate the content category with the advertisement category, the mapping probability table comprising;
a match between the theme of the web page content information and the advertisement, wherein the match is based on a logical association of the content category and the advertising category and not upon the web page content information alone; and
mapping information comprising at least one probability score corresponding to a likelihood, based on the match, that a viewer with an interest in the content category has an interest in the advertising category; and
storing, by a processor, the mapping probability table, the content taxonomy, andthe advertising taxonomy.
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Abstract
A system and method to facilitate classification and storage of events in a network are described. An event and associated content information are received from an entity over a network. The content information is further analyzed to determine one or more themes representing subject matter related to the content information. The event is further classified according to the themes into one or more corresponding categories. Finally, the event is stored into one or more corresponding databases of a data storage module according to the one or more corresponding categories.
48 Citations
16 Claims
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1. A computer-implemented method comprising:
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receiving, by a processor, a web page and web page content information associated with the web page; classifying, by a processor, said web page content information to a content category of a hierarchical content taxonomy based on a theme of the web page content information; receiving, by a processor, an advertisement and an advertisement content associated with the advertisement; classifying, by a processor, said advertisement to an advertisement category of a hierarchical advertising taxonomy based on a theme of the advertisement content; generating, by a processor, a mapping probability table to associate the content category with the advertisement category, the mapping probability table comprising; a match between the theme of the web page content information and the advertisement, wherein the match is based on a logical association of the content category and the advertising category and not upon the web page content information alone; and mapping information comprising at least one probability score corresponding to a likelihood, based on the match, that a viewer with an interest in the content category has an interest in the advertising category; and
storing, by a processor, the mapping probability table, the content taxonomy, andthe advertising taxonomy. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer system comprising:
at least one web server, comprising at least one processor and memory, that is configured to receive a web page and web page content information associated with the web page and to receive an advertisement and an advertisement content associated with said advertisement; a processing platform, comprising at least one processor and memory, coupled to said at least one web server, the processing platform being configured to; classify said web page content information of said web page to a content category of a hierarchical content taxonomy based on a theme of the web page content information, classify said advertisement to an advertisement category of a hierarchical advertising taxonomy based on a theme of the advertisement content, generate a mapping probability table to associate the content category with the advertising category based on the theme of the web page content information, the mapping probability table comprising; a match between the theme of the web page content information and the advertisement, wherein the match is based on a logical association of the content category and the advertising category and not upon the web page content information alone; and mapping information comprising at least one probability score corresponding to a likelihood, based on the match, that a viewer with an interest in the content category has an interest in the advertising category. - View Dependent Claims (8, 9, 10, 11)
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12. A non-transitory computer readable storage medium comprising executable instructions, the executable instructions to direct a processor to perform acts of:
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receiving a web page and web page content information associated with the webpage; classifying said web page content information to a content category of a hierarchical content taxonomy based on a theme of the web page content information; receiving an advertisement and an advertisement content associated with the advertisement;
classifying said advertisement to an advertisement category of a hierarchical advertising taxonomy based on a theme of the advertisement content;
generating a mapping probability table to associate the content category with the advertising category, the mapping probability table comprising;a match between the theme of the web page content information and the advertisement, wherein the match is based on a logical association of the content category and the advertising category and not upon the web page content information alone; and mapping information comprising at least one probability score corresponding to a likelihood, based on the match, that a viewer with an interest in the content category has an interest in the advertising category. - View Dependent Claims (13, 14, 15, 16)
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Specification