Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: A system can include a database and a computing device. The computing device is configured to receive an item recommendation request corresponding to an asset from an analyst device and select a set of item identifiers of a plurality of item identifiers. An associated published timeframe of the selected item identifiers is related to a present timeframe. The computing device is further configured to determine a composite similarity value for each item identifier of the set of item identifiers comparing a similarity of the asset to each item identifier of the set of item identifiers. The computing device is also configured to generate an item recommendation list including each item identifier of the set of item identifiers with a corresponding composite similarity value above a threshold value and transmit the item recommendation list to the analyst device for display.

Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: A categorization system can include a computing device that is configured to obtain a plurality of data items over a threshold analysis period from an incoming data database in response to a threshold analysis interval elapsing. The computing device can also be configured to select a categorization model from a model database. The computing device can also be configured to, for each data item of the plurality of data items, apply the categorization model to the data item to identify at least one topic associated with the corresponding data item. The computing device can also be configured to generate a categorization visualization indicating a frequency of data items corresponding to each topic. The computing device can also be configured to transmit the categorization visualization to at least one of: (i) a user interface of an analyst device and (ii) a categorized database.

Abstract: A categorization system can include a computing device that is configured to obtain a plurality of data items over a threshold analysis period from an incoming data database in response to a threshold analysis interval elapsing. The computing device can also be configured to select a categorization model from a model database. The computing device can also be configured to, for each data item of the plurality of data items, apply the categorization model to the data item to identify at least one topic associated with the corresponding data item. The computing device can also be configured to generate a categorization visualization indicating a frequency of data items corresponding to each topic. The computing device can also be configured to transmit the categorization visualization to at least one of: (i) a user interface of an analyst device and (ii) a categorized database.

Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: A system can include a database and a computing device. The computing device is configured to receive an item recommendation request corresponding to an asset from an analyst device and select a set of item identifiers of a plurality of item identifiers. An associated published timeframe of the selected item identifiers is related to a present timeframe. The computing device is further configured to determine a composite similarity value for each item identifier of the set of item identifiers comparing a similarity of the asset to each item identifier of the set of item identifiers. The computing device is also configured to generate an item recommendation list including each item identifier of the set of item identifiers with a corresponding composite similarity value above a threshold value and transmit the item recommendation list to the analyst device for display.

Abstract: A system can implement operations that generate a representative keyword search term based on obtained domain data. The operations including, based on the domain data, identifying keyword search term data, product data, and interaction data. Additionally, the operations include determining a set of keyword search term-product pairings, based on the keyword search term data, the product data and the interaction data. Moreover, the operations include determining, one or more clusters of keyword search terms and, a representative keyword search term for each of the one or more clusters of keyword search terms, based on an engagement score associated with each keyword search term and the set of keyword search terms. Furthermore, the operations include outputting the representative keyword search term of each of the one or more clusters of keyword search terms.

Abstract: A categorization system can include a computing device that is configured to obtain a plurality of data items over a threshold analysis period from an incoming data database in response to a threshold analysis interval elapsing. The computing device can also be configured to select a categorization model from a model database. The computing device can also be configured to, for each data item of the plurality of data items, apply the categorization model to the data item to identify at least one topic associated with the corresponding data item. The computing device can also be configured to generate a categorization visualization indicating a frequency of data items corresponding to each topic. The computing device can also be configured to transmit the categorization visualization to at least one of: (i) a user interface of an analyst device and (ii) a categorized database.