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 receive an input indicating an interaction party identifier corresponding to a selected interaction party, wherein a geographic location may be associated with the interaction party identifier. The system may receive aspect preference data indicating one or more aspects to determine a similarity between the selected interaction party and one or more other interaction parties. The system may identify one or more identified interaction parties having geographic locations within a distance threshold of the geographic location associated with the interaction party identifier. The system may use a machine learning model to determine similarity scores for the one or more identified interaction parties based on one or more aspects associated with historical interactions with the one or more identified interaction parties. The system may transmit, to a user device, data indicating one or more similar interaction parties having similarity scores above a score threshold.

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.