Filtering and scoring of web content

A method comprising:

• retrieving, by at least one data processor executing a scored content generator, a web content collection comprising:
• first metadata associated with the web content collection as a whole, the first metadata comprising one or more of a characteristic of the web content collection, a location from which the web content collection is retrieved, characteristics of the location, characteristics of one or more web pages, HTML tags, traffic statistics, views, and titles,
• data pertaining to one or more web pages, and
• second metadata associated with the pages, the second metadata comprising metrics characterizing (i) the web pages and (ii) at least a portion of the web content collection, the metrics characterizing the web pages comprising an evaluation of one or more content items presented at each of the webpages:
• calculating, by at least one data processor executing a scored content generator and based on the metrics, a page performance score for each of the retrieved pages that each characterize a level of user interaction with the pages, wherein the calculating comprises:
• determining at least one parameter based on the second metadata;
• applying at least one pre-determined factor to the at least one parameter, the pre-determined factor characterizing a relative weighting of the at least one parameter;
• calculating a raw content item performance score based on the at least one parameter and the at least one pre-determined factor by applying at least one weighting to the at least one parameter, the weighting characterizing a content-type dependent scaling of a pre-weighted raw content item performance score;
• and
• calculating the content item performance score by applying a mapping function to the raw content item performance score, where the content item performance score is between a maximum value and a minimum value;
• and
• providing, by at least one data processor, data encapsulating the page performance scores to a first computing system.

A system comprising:

• at least one data processor;
• and
• memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
• retrieving, by at least one data processor executing a scored content generator, a web content collection comprising:
• first metadata associated with the web content collection as a whole, the first metadata comprising one or more of a size of the web content collection, a location from which the web content collection is retrieved, characteristics of the location, number of content items, type of content items, characteristics of the content items, line count, page count, memory size, addresses, HTML tags, traffic statistics, views, and titles,
• content items, and
• second metadata associated with the content items, the second metadata comprising metrics characterizing (i) the content items and (ii) at least a portion of the web content collection, the metrics characterizing the content items comprising an evaluation of each of the content items present in the web content collection;
• calculating, by at least one data processor executing a scored content generator and based on the metrics, a content item performance score for each of the retrieved content items that each characterize a level of user interaction with the content items, wherein the calculating comprises:
• determining at least one parameter based on the second metadata;
• applying at least one pre-determined factor to the at least one parameter, the pre-determined factor characterizing a relative weighting of the at least one parameter;
• calculating a raw content item performance score based on the at least one parameter and the at least one pre-determined factor by applying at least one weighting to the at least one parameter, the weighting characterizing a content-type dependent scaling of a pre-weighted raw content item performance score;
• and
• calculating the content item performance score by applying a mapping function to the raw content item performance score, where the content item performance score is between a maximum value and a minimum value;
• and
• providing, by at least one data processor, data encapsulating the content item performance scores to a first computing system.

A non-transitory computer program product storing instructions which, when executed by at least one data processor forming part of at least one computing device, result in operations comprising:

• retrieving, by at least one data processor executing a scored content generator, a web content collection comprising:
• first metadata associated with the web content collection as a whole, the first metadata comprising one or more of a size of the web content collection, a location from which the web content collection is retrieved, characteristics of the location, number of content items, type of content items, characteristics of the content items, line count, page count, memory size, addresses, HTML tags, traffic statistics, views, and titles,
• content items, and
• second metadata associated with the content items, the second metadata comprising metrics characterizing (i) the content items and (ii) at least a portion of the web content collection, the metrics characterizing the content items comprising an evaluation of each of the content items present in the web content collection;
• calculating, by at least one data processor executing a scored content generator and based on the metrics, a content item performance score for each of the retrieved content items that each characterize a level of user interaction with the content items, wherein the calculating comprises:
• determining at least one parameter based on the second metadata;
• applying at least one pre-determined factor to the at least one parameter, the pre-determined factor characterizing a relative weighting of the at least one parameter;
• calculating a raw content item performance score based on the at least one parameter and the at least one pre-determined factor by applying at least one weighting to the at least one parameter, the weighting characterizing a content-type dependent scaling of a pre-weighted raw content item performance score;
• and
• calculating the content item performance score by applying a mapping function to the raw content item performance score, where the content item performance score is between a maximum value and a minimum value;
• and
• providing, by at least one data processor, data encapsulating the content item performance scores to a first computing system.