Salesforce, inc. (20240257168). AUDIENCE SEGMENT FINGERPRINTING AND SIMILARITY simplified abstract
Contents
AUDIENCE SEGMENT FINGERPRINTING AND SIMILARITY
Organization Name
Inventor(s)
Yuxi Zhang of San Francisco CA (US)
Kexin Xie of San Mateo CA (US)
Max Fleming of San Francisco CA (US)
AUDIENCE SEGMENT FINGERPRINTING AND SIMILARITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257168 titled 'AUDIENCE SEGMENT FINGERPRINTING AND SIMILARITY
The abstract describes a method for generating candidate segments based on cluster models and entity data, calculating similarity scores between segments, and ranking entities for inclusion in a lookalike segment.
- Modeling service generates candidate segments using cluster models and entity data
- Candidate segment fingerprints are generated based on features associated with segments
- Similarity scores are calculated between seed segment and candidate segments using segment fingerprints
- Entities are ranked based on similarity and included in a lookalike segment corresponding to the seed segment
Potential Applications: - Targeted marketing campaigns - Personalized recommendations - Fraud detection in financial transactions
Problems Solved: - Efficient segmentation of data - Improved targeting of specific audience segments - Enhanced data analysis and decision-making processes
Benefits: - Increased accuracy in identifying similar entities - Enhanced customization of marketing strategies - Improved overall performance of data-driven processes
Commercial Applications: Title: "Enhanced Data Segmentation for Targeted Marketing" This technology can be utilized in various industries such as e-commerce, advertising, and financial services to optimize customer segmentation and improve marketing strategies.
Questions about the technology: 1. How does this technology improve the efficiency of targeted marketing campaigns?
- This technology enhances the accuracy of identifying similar entities and allows for more personalized marketing strategies.
2. What are the potential applications of this technology beyond marketing?
- This technology can also be used for personalized recommendations, fraud detection, and data analysis in various industries.
Original Abstract Submitted
methods, systems, apparatuses, devices, and computer program products are described. a modeling service may generate a set of candidate segments using a set of cluster models and based on a seed segment and entity data. based on respective features associated with the segments, the service may generate candidate segment fingerprints and a seed segment fingerprint, where a segment fingerprint may indicate a distribution of entities within a segment based on similarities between features associated with entities within the segment. that is, a segment fingerprint may depict how similar entities are in a candidate segment based on different features. the service may calculate similarity scores between the seed segment and the candidate segments using the segment fingerprints, and rank entities in terms of their similarity. the highest ranking entities may be identified from the candidate segments and included in a lookalike segment corresponding to the seed segment.
