18683170. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM simplified abstract (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)
Contents
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
Organization Name
NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor(s)
Takaaki Moriya of Musashino-shi, Tokyo (JP)
Ai Tsunoda of Musashino-shi, Tokyo (JP)
Manabu Nishio of Musashino-shi, Tokyo (JP)
Taizo Yamamoto of Musashino-shi, Tokyo (JP)
Yu Miyoshi of Musashino-shi, Tokyo (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18683170 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
The abstract describes an information processing device that quantifies the cross-correlation function between time-series data of items, calculates semantic similarity between the items, and determines the unexpectedness of combinations of items based on their positions on a plane defined by the scalar and semantic similarity.
- Antecedence quantification unit obtains a scalar quantifying cross-correlation function between time-series data of items.
- Similarity calculation unit calculates semantic similarity between items.
- Unexpectedness calculation unit determines unexpectedness of item combinations based on their positions on a plane defined by the scalar and semantic similarity.
Potential Applications: - Data analysis in various industries such as finance, healthcare, and marketing. - Predictive modeling for trend forecasting and anomaly detection. - Recommendation systems for personalized content delivery.
Problems Solved: - Efficient quantification of cross-correlation function. - Accurate calculation of semantic similarity. - Enhanced understanding of unexpectedness in data combinations.
Benefits: - Improved data analysis accuracy. - Enhanced decision-making capabilities. - Increased efficiency in pattern recognition.
Commercial Applications: Title: "Advanced Data Analysis Device for Enhanced Decision-Making" This technology can be utilized in financial institutions for market trend analysis, healthcare organizations for patient data interpretation, and e-commerce platforms for personalized product recommendations.
Questions about the technology: 1. How does the device quantify the cross-correlation function between time-series data? 2. What are the key factors influencing the determination of unexpectedness in item combinations?
Original Abstract Submitted
An information processing device includes an antecedence quantification unit configured to obtain a scalar vthat quantifies a cross-correlation function between time-series data of items, a similarity calculation unit configured to obtain a semantic similarity uindicating semantic closeness between the items, and an unexpectedness calculation unit configured to obtain unexpectedness of a combination of the items on the basis of a position of a point indicating the combination of the items on a plane having the scalar vand the semantic similarity uas axes.
