Seiko epson corporation (20240333989). CONTENT RECOMMENDATION METHOD, CONTENT DISTRIBUTION SYSTEM, RECOMMENDED CONTENT ESTIMATION APPARATUS, AND MACHINE LEARNING APPARATUS simplified abstract
CONTENT RECOMMENDATION METHOD, CONTENT DISTRIBUTION SYSTEM, RECOMMENDED CONTENT ESTIMATION APPARATUS, AND MACHINE LEARNING APPARATUS
Organization Name
Inventor(s)
Nona Mimura of Matsumoto-shi (JP)
CONTENT RECOMMENDATION METHOD, CONTENT DISTRIBUTION SYSTEM, RECOMMENDED CONTENT ESTIMATION APPARATUS, AND MACHINE LEARNING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240333989 titled 'CONTENT RECOMMENDATION METHOD, CONTENT DISTRIBUTION SYSTEM, RECOMMENDED CONTENT ESTIMATION APPARATUS, AND MACHINE LEARNING APPARATUS
The patent application describes a system where a processing device analyzes viewing logs of projectors, clusters them based on environmental indicators, and evaluates contents to recommend the best match for each projector.
- The processing device totalizes viewing logs for projectors and stores the results.
- Clustering of projectors is done based on environmental indicators like illuminance, screen size, and noise.
- Evaluation values are calculated for contents reproduced in projector groups formed by clustering.
- Recommended contents are determined based on the evaluation values of each group.
- Potential Applications:**
- This technology can be used in cinemas to optimize content selection for different projector setups. - It can be applied in conference rooms to ensure the best viewing experience for presentations.
- Problems Solved:**
- Helps in efficiently managing and optimizing content distribution for multiple projectors. - Enhances viewer experience by matching content to projector specifications.
- Benefits:**
- Improved content delivery and viewer satisfaction. - Automated system reduces manual intervention and saves time.
- Commercial Applications:**
Title: "Optimizing Content Selection for Projectors in Cinemas and Conference Rooms" This technology can revolutionize the entertainment and corporate sectors by providing tailored content recommendations for different projector setups, enhancing the overall viewing experience and efficiency of content distribution.
- Questions about the Technology:**
1. How does the system determine the evaluation values for different contents?
- The system calculates evaluation values based on the performance of each content in projector groups formed by clustering.
2. Can this technology be integrated with existing projector systems easily?
- Yes, the processing device can be connected to projectors to analyze viewing logs and recommend contents seamlessly.
Original Abstract Submitted
a processing device totalizes viewing logs for each of projectors and stores a totalization result in a storage device. the processing device performs clustering of a plurality of projectors based on environmental indicators, that is, illuminance, a screen size, and noise included in the totalization result. the processing device calculates, for each of a plurality of contents reproduced in the projectors belonging to groups formed by the clustering, evaluation values in the entire groups based on an evaluation value of each of the plurality of contents. the processing device determines, based on the evaluation value calculated for each of the groups, recommended contents for the projectors.
