Abstract: Systems and methods for automatically determining and providing digital advertisements with ensured relevancy to a search query are disclosed. In some embodiments, based on historical user session data, a query is determined to be a head query, torso query, or tail query. For each sponsored item, a relevance score is generated to represent a degree of relevancy between the sponsored item and the query, and it is determined whether the sponsored item is eligible to be recommended in response to the query based on: (a) comparing the relevance score to a first threshold when the query is a head or torso query, or (b) comparing the relevance score to a second threshold when the query is a tail query. Based on all sponsored items that are eligible to be recommended, a ranked list of recommended items is generated for display based on an auction mechanism.

Abstract: Systems and methods for automatically retrieving and providing digital advertisements from multiple channels with improved relevancy to a search query are disclosed. In some embodiments, based on a query, a first set of sponsored items is retrieved and ranked based on an optimization of conversion rate, and a second set of sponsored items is retrieved and ranked based on an optimization of click-through rate. Based on the first set of sponsored items and the second set of sponsored items, a ranked list of recommended items is generated for display based on an advertisement auction mechanism, in response to the query.

Abstract: Systems and methods for automatically determining and providing digital advertisements with ensured relevancy to a search query are disclosed. In some embodiments, based on historical user session data, a query is determined to be a head query, torso query, or tail query. For each sponsored item, a relevance score is generated to represent a degree of relevancy between the sponsored item and the query, and it is determined whether the sponsored item is eligible to be recommended in response to the query based on: (a) comparing the relevance score to a first threshold when the query is a head or torso query, or (b) comparing the relevance score to a second threshold when the query is a tail query. Based on all sponsored items that are eligible to be recommended, a ranked list of recommended items is generated for display based on an auction mechanism.

Abstract: Systems and methods of generating interfaces including variant item recommendations are disclosed. A request for an interface and a set of candidate items selected from an item catalog are received. At least one of the candidate items is representative of two or more variant items. A variant score is determined for each variant item related to the at least one of the candidate items and a set of recommended items is generated by independently ranking each item in the set of candidate items and each of the two or more variant items. The set of recommended items is generated by a variant-aware ranking model configured to receive the variant score for each variant item and based on the variant score and a relevancy score for each variant item. The interface including the set of recommended items is generated and transmitted to a system that generated the request for the interface.

Abstract: Systems and methods for automatically retrieving and providing digital advertisements from multiple channels with improved relevancy to a search query are disclosed. In some embodiments, based on a query, a first set of sponsored items is retrieved and ranked based on an optimization of conversion rate, and a second set of sponsored items is retrieved and ranked based on an optimization of click-through rate. Based on the first set of sponsored items and the second set of sponsored items, a ranked list of recommended items is generated for display based on an advertisement auction mechanism, in response to the query.

Abstract: A method implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include receiving, via a computer network, an ad request. The method also can include retrieving ad candidates from an ad database. The method further can include determining a respective ad ranking score for each of the ad candidates, based at least in part on the ad request and respective historical retrieval scores for each of the ad candidates.

Abstract: Systems and methods for identifying users according to their activity are disclosed. The identification of a user includes accessing a user activity log having a plurality of identifiers and corresponding activity information for each identifier, determining identifiers having correlating activity information, and assigning identifiers having correlating activity information to a common user.

Abstract: Systems and methods for identifying users according to their activity are disclosed. The identification of a user includes accessing a user activity log having a plurality of identifiers and corresponding activity information for each identifier, determining identifiers having correlating activity information, and assigning identifiers having correlating activity information to a common user.