Abstract: This application relates to apparatus and methods for training machine learning models, and applying the trained models to determine an item's relevance to a search query. In some examples, features are generated based on item engagement data associated with a search query. First values are generated for each of a plurality of items based on the search query, a first attribute of each of the items, and the item engagement data. Second values are generated for the items based on the search query, the first attributes, a second attribute of each item, and the item engagement data. Third values are generated for the items based on the search query, the first attributes, a third attribute of each item, and the item engagement data. Features are generated based on the first, second, and third values, and a machine learning model is applied to the features to rank items.

Abstract: This application relates to apparatus and methods for ranking search results. In some examples, a computing device receives item data identifying items for a search query provided by a user. The computing determines, for each item, a first value based on a relevance of the item to the search query. The computing device also determines user engagement data for the user, where the user engagement data identifies engagements by the user on a webpage. The computing device determines, for each item, a second value based on the user engagement data. In some examples, the computing device determines the first values and second values by executing one or more machine learning models. The computing device further determines a ranking of the plurality of items based on the first values and the second values. The computing may transmit the ranking of the plurality of items, such as to a web server.

Abstract: This application relates to apparatus and methods for ranking search results. In some examples, a computing device receives item data identifying items for a search query provided by a user. The computing determines, for each item, a first value based on a relevance of the item to the search query. The computing device also determines user engagement data for the user, where the user engagement data identifies engagements by the user on a webpage. The computing device determines, for each item, a second value based on the user engagement data. In some examples, the computing device determines the first values and second values by executing one or more machine learning models. The computing device further determines a ranking of the plurality of items based on the first values and the second values. The computing may transmit the ranking of the plurality of items, such as to a web server.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: for each respective item of one or more items: identifying one or more respective item attributes in an existing title for the respective item; and determining at least one respective item attribute of the one or more respective item attributes to include in an alternative title for the respective item based on an attribute importance score for each respective item attribute of one or more item attributes of the respective item; generating at least one first modified title for at least one first item of the one or more items, the at least one first modified title comprising at least one first item attribute of the at least one first item; and coordinating displaying of the at least one first modified title for the at least one first item on a website. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: for each respective item of one or more items: identifying one or more respective item attributes in an existing title for the respective item; and determining at least one respective item attribute of the one or more respective item attributes to include in an alternative title for the respective item based on an attribute importance score for each respective item attribute of one or more item attributes of the respective item; generating at least one first modified title for at least one first item of the one or more items, the at least one first modified title comprising at least one first item attribute of the at least one first item; and coordinating displaying of the at least one first modified title for the at least one first item on a website. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of identifying one or more product attributes in an existing title for a product, determining at least one product attribute to include in an alternative title for the product, determining that the at least one product attribute in the alternative title for at least a the product does not correspond to the one or more product attributes in the existing title for the product, automatically inserting the at least one product attribute in the alternative title for the product into a modified title for the product, and coordinating displaying of the modified title for the product on a website associated with the online retailer.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of identifying one or more product attributes in an existing title for a product, determining at least one product attribute to include in an alternative title for the product, determining that the at least one product attribute in the alternative title for at least a the product does not correspond to the one or more product attributes in the existing title for the product, automatically inserting the at least one product attribute in the alternative title for the product into a modified title for the product, and coordinating displaying of the modified title for the product on a website associated with the online retailer.