US Patent Application 17661780. PRIVACY PROTECTION IN A SEARCH PROCESS simplified abstract

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PRIVACY PROTECTION IN A SEARCH PROCESS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION


Inventor(s)

Jin Wang of Xian (CN)

Lei Gao of Xian (CN)

A PENG Zhang of Xian (CN)

Kai Li of Xian (CN)

Jun Wang of Xian (CN)

Xiao Ming Ma of Xian (CN)

Xin Feng Zhu of Xian (CN)

Geng Wu Yang of Xian (CN)

PRIVACY PROTECTION IN A SEARCH PROCESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17661780 titled 'PRIVACY PROTECTION IN A SEARCH PROCESS

Simplified Explanation

- The patent application is about privacy protection in a search process. - The method involves extracting a target emotion vector from a search interaction, which represents emotional information in the interaction. - Emotion distances between the target emotion vector and emotion vectors associated with a dictionary of text elements are determined. - Text clusters are formed from the dictionary of text elements, and a first number of text clusters are selected based on the determined emotion distances. - The selected text clusters have larger emotion distances compared to at least one unselected text cluster. - Confused search interactions are constructed based on the selected text clusters, and these confused search interactions are performed. - The purpose of this method is to enhance privacy protection during the search process by introducing confusion through the use of selected text clusters.


Original Abstract Submitted

The present disclosure relates to privacy protection in a search process. According to a method, a target emotion vector is extracted from a search interaction, the target emotion vector representing emotional information in the search interaction. Respective emotion distances between the target emotion vector and respective emotion vectors associated with a plurality of text clusters are determined. The plurality of text clusters is clustered from a dictionary of text elements. A first number of text clusters are selected from the plurality of text clusters based on the determined respective emotion distances. The first number of text clusters have emotion distances larger than at least one unselected text cluster among the plurality of text clusters. A plurality of confused search interactions are constructed for the search interaction based on the first number of text clusters, and the plurality of confused search interactions are performed.