Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimization of communications transmitted over a plurality of communication mediums. Historical communications data may be analyzed to identify clusters of users and a model may be constructed based on the clusters. Candidate sequences of communications over a period of time (e.g., sequences of communication successfully triggering events) are identified using metrics (e.g., probabilities, attribution penalties, etc.) derived from the model or other information. The candidate sequences of communications may be determined at a group or cluster level and then tuned or optimized (e.g., using transition sequences, harmonization, entity priors, etc.) for individual users to produce optimized sequences of communications. The optimized sequences of communications may then be transmitted to individual users according to each user's optimized sequence of communications.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimization of communications transmitted over a plurality of communication mediums. Historical communications data may be analyzed to identify clusters of users and a model may be constructed based on the clusters. Candidate sequences of communications over a period of time (e.g., sequences of communication successfully triggering events) are identified using metrics (e.g., probabilities, attribution penalties, etc.) derived from the model or other information. The candidate sequences of communications may be determined at a group or cluster level and then tuned or optimized (e.g., using transition sequences, harmonization, entity priors, etc.) for individual users to produce optimized sequences of communications. The optimized sequences of communications may then be transmitted to individual users according to each user's optimized sequence of communications.

Abstract: In some examples, sequence, frequency, and time interval based journey recommendation may include generating a plurality of clusters of entities, and generating a network that identifies a time interval to a next interaction that leads to success. An estimated time interval to a specified number of conversions may be determined. A success criterion that represents a positive outcome in the estimated time interval may be determined. A historical sequence of events may be partitioned into a plurality of sequences of events leading to success or failure. The plurality of sequence of events may be mapped based on analyzed probabilities, a determined waiting interval, and determined frequency contributions, and evaluated as to whether a mapped sequence of events duration is less than a planned duration. If so, a journey may be generated and include a determined sequence of events, a corresponding frequency, and a corresponding waiting interval.

Abstract: In some examples, sequence, frequency, and time interval based journey recommendation may include generating a plurality of clusters of entities, and generating a network that identifies a time interval to a next interaction that leads to success. An estimated time interval to a specified number of conversions may be determined. A success criterion that represents a positive outcome in the estimated time interval may be determined. A historical sequence of events may be partitioned into a plurality of sequences of events leading to success or failure. The plurality of sequence of events may be mapped based on analyzed probabilities, a determined waiting interval, and determined frequency contributions, and evaluated as to whether a mapped sequence of events duration is less than a planned duration. If so, a journey may be generated and include a determined sequence of events, a corresponding frequency, and a corresponding waiting interval.

Abstract: A method and a system for managing primary field-specific entity records required by a user. The method includes developing a structured database to identify field-specific entity records, identifying pairs of field-specific entity records having similar entity attribute in the field segments, designating relations between the identified pairs of field-specific entity records, determining a weightage score of the relations between the pairs of field-specific entity records, determining an importance score of each of the field-specific entity records based on the plurality of entity attributes of the field-specific entity record and relations of the field-specific entity record, receiving a first user-input based on a field specified by the user, identifying the primary field-specific entity records based on the determined weightage scores and the determined importance scores of the field-specific entity records in the field segment associated with the specified field.

Abstract: A method and a system for managing primary field-specific entity records required by a user. The method includes developing a structured database to identify field-specific entity records, identifying pairs of field-specific entity records having similar entity attribute in the field segments, designating relations between the identified pairs of field-specific entity records, determining a weightage score of the relations between the pairs of field-specific entity records, determining an importance score of each of the field-specific entity records based on the plurality of entity attributes of the field-specific entity record and relations of the field-specific entity record, receiving a first user-input based on a field specified by the user, identifying the primary field-specific entity records based on the determined weightage scores and the determined importance scores of the field-specific entity records in the field segment associated with the specified field.