System and method for providing automatic high-value listing feeds for online computer users

A system comprising:

• at least one processor;
• and
• a non-transitory computer-readable medium storing executable instructions that, when executed, cause the at least one processor to perform operations comprising:
• obtaining publisher information corresponding to a plurality of publisher content items from a plurality of publisher sites, the publisher information comprising a plurality of user queries and a plurality of keywords corresponding to the plurality of publisher content items;
• obtaining merchant information including value information corresponding to the plurality of publisher content items;
• generating a merchant data set using the merchant information, the merchant data set comprising information related to relationships between products or items appearing in particular publisher content items, identifiers of publisher sites corresponding to the particular publisher content items, merchant bids corresponding to the products or items, and a merchant or seller associated with each merchant bid;
• generating a set of high-value feeds based on the publisher information and the merchant information, wherein generating the set of high-value feeds comprises:
• allocating relative profits to each user query based on at least one of a sum of clicks or a sum of bids for each user query determined from the merchant data set;
• selecting a set of user queries satisfying a threshold profitability;
• and
• determining, using at least in part the set of user queries selected, a quality score for each listing item corresponding to a keyword from the plurality of keywords, wherein the set of high-value feeds comprises listing items selected using qualities scores;
• and
• transmitting the set of high-value feeds to corresponding publisher sites of the plurality of publisher sites.

A non-transitory computer-readable medium storing executable instructions that, when executed, cause at least one processor to perform operations comprising:

• obtaining publisher information corresponding to a plurality of publisher content items from a plurality of publisher sites, the publisher information comprising a plurality of user queries and a plurality of keywords corresponding to the plurality of publisher content items;
• obtaining merchant information including value information corresponding to the plurality of publisher content items;
• generating a merchant data set using the merchant information, the merchant data set comprising information related to relationships between products or items appearing in particular publisher content items, identifiers of publisher sites corresponding to the particular publisher content items, merchant bids corresponding to the products or items, and a merchant or seller associated with each merchant bid;
• generating a set of high-value feeds based on the publisher information and the merchant information, wherein generating the set of high-value feeds comprises:
• allocating relative profits to each user query based on at least one of a sum of clicks or a sum of bids for each user query determined from the merchant data set;
• selecting a set of user queries satisfying a threshold profitability;
• and
• determining, using at least in part the set of user queries selected, a quality score for each listing item corresponding to a keyword from the plurality of keywords, wherein the set of high-value feeds comprises listing items selected using qualities scores;
• and
• transmitting the set of high-value feeds to corresponding publisher sites of the plurality of publisher sites.