Abstract: A method includes obtaining an input sequence and first and second word sequences of metadata of a plurality of datasets. The method also includes determining a set of scores including first scores and second scores by determining first scores by determining a score of the first scores based on a count of the word sequence of the first word sequences in the metadata without determining a count of the input sequence. The method also includes determining second scores by determining a score of the second scores based on a count of a second sequence of the second word sequences in the metadata. The method also includes determining an additional word for a predicted sequence including the input sequence based on the set of scores and retrieving a set of datasets based on the predicted sequence.

Abstract: In some implementations, a system may obtain a first model that is trained to identify feature data associated with a client system using one or more services of a service platform. The system may train, based on the feature data, a second model to identify anomalies associated with devices accessing the one or more services in association with a client identifier of the client system. The system may receive access data associated with an acting device accessing a service of the service platform. The system may determine, using the second model, that the acting device accessing the service corresponds to potential anomalous activity based on the access information. The system may obtain, from a verification device, a verification that the acting device accessing the service is anomalous activity. The system may perform, based on obtaining the verification, an action associated with the acting device.

Abstract: In some implementations, a system may obtain a first model that is trained to identify feature data associated with a client system using one or more services of a service platform. The system may train, based on the feature data, a second model to identify anomalies associated with devices accessing the one or more services in association with a client identifier of the client system. The system may receive access data associated with an acting device accessing a service of the service platform. The system may determine, using the second model, that the acting device accessing the service corresponds to potential anomalous activity based on the access information. The system may obtain, from a verification device, a verification that the acting device accessing the service is anomalous activity. The system may perform, based on obtaining the verification, an action associated with the acting device.

Abstract: In some implementations, a system may obtain a first model that is trained to identify feature data associated with a client system using one or more services of a service platform. The system may train, based on the feature data, a second model to identify anomalies associated with devices accessing the one or more services in association with a client identifier of the client system. The system may receive access data associated with an acting device accessing a service of the service platform. The system may determine, using the second model, that the acting device accessing the service corresponds to potential anomalous activity based on the access information. The system may obtain, from a verification device, a verification that the acting device accessing the service is anomalous activity. The system may perform, based on obtaining the verification, an action associated with the acting device.

Abstract: An apparatus for providing relative optimized pricing for markdown items is provided. A financial engine for determining revenue for determining sales costs is provided. An optimization engine receiving input from the financial engine and uses the determined sales costs to provide relative optimized pricing for markdown items and provides pricing and a promotion calendar for non-markdown items.

Abstract: An apparatus for providing relative optimized pricing for markdown items is provided. A financial engine for determining revenue for determining sales costs is provided. An optimization engine receiving input from the financial engine and uses the determined sales costs to provide relative optimized pricing for markdown items and provides pricing and a promotion calendar for non-markdown items.