Company Filing History:

12 out of 58,129

Sony Corporation

where one patent can have more than one assignee

Years Active: 2009-2012

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12 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 8341158 - User's preference prediction from collective rating data (2012-12-25),

2. 8055597 - Method and system for subspace bounded recursive clustering of categorical data (2011-11-08),

3. 8051027 - Method and system for transitioning from a case-based classifier system to a rule-based classifier system (2011-11-01),

4. 7937352 - Computer program product and method for folder classification based on folder content similarity and dissimilarity (2011-05-03),

5. 7844557 - Method and system for order invariant clustering of categorical data (2010-11-30),

6. 7809665 - Method and system for transitioning from a case-based classifier system to a rule-based classifier system (2010-10-05),

7. 7774288 - Clustering and classification of multimedia data (2010-08-10),

8. 7761394 - Augmented dataset representation using a taxonomy which accounts for similarity and dissimilarity between each record in the dataset and a user's similarity-biased intuition (2010-07-20),

9. 7664718 - Method and system for seed based clustering of categorical data using hierarchies (2010-02-16),

10. 7640220 - Optimal taxonomy layer selection method (2009-12-29),

11. 7630946 - System for folder classification based on folder content similarity and dissimilarity (2009-12-08),

12. 7474997 - Construction and selection of a finite mixture model for use in clustering and vector quantization (2009-01-06),

Title: The Innovations of Chiranjit Acharya

Introduction

Chiranjit Acharya is an accomplished inventor based in San Jose, CA, who has made significant contributions to the fields of data science and machine learning. With a remarkable portfolio of 12 patents, he has pioneered several innovative methods that enhance user experience and data analysis.

Latest Patents

Acharya's most recent patents showcase his expertise in predictive analytics and clustering methodologies. One of his notable inventions is a computer-implemented method for predicting user preferences from collective rating data. This invention involves a sophisticated approach in which users and items are clustered into groups, enabling a model to predict how a user will rate an item based on the interactions within these groups.

Another significant patent relates to a method and system for subspace bounded recursive clustering of categorical data. This comprehensive method involves decomposing an attribute space into multiple subspaces and generating taxonomies to better organize datasets. The iterative process allows for a detailed analysis, ultimately enhancing how data is categorized and understood.

Career Highlights

Chiranjit Acharya has held key positions at prominent companies, including Sony Corporation and Sony Electronics Inc., where he honed his skills in data analytics and technological innovation. His work at these leading organizations provided him with valuable insights and experience that have informed his inventive processes.

Collaborations

Throughout his career, Acharya has collaborated with talented professionals, including Mark Earl Plutowski and Tsunayuki Ohwa. These partnerships have further enriched his work and contributed to the successful development of his patents.

Conclusion

Chiranjit Acharya exemplifies the spirit of innovation through his groundbreaking patents and contributions to data science. His work not only enhances technological solutions but also paves the way for future advancements in understanding user preferences and data categorization. As he continues to innovate, the impact of his inventions will undoubtedly resonate across various industries.

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