View source for 18263022. INFORMATION PROCESSING DEVICE simplified abstract (NTT DOCOMO, INC.)

=INFORMATION PROCESSING DEVICE=


==Organization Name==

[[:Category:NTT DOCOMO, INC.|NTT DOCOMO, INC.]]


[[Category:NTT DOCOMO, INC.]]

==Inventor(s)==

[[:Category:Kunihiro Aiba of Chiyoda-ku (JP)|Kunihiro Aiba of Chiyoda-ku (JP)]][[Category:Kunihiro Aiba of Chiyoda-ku (JP)]]

[[:Category:Souhei Ono of Chiyoda-ku (JP)|Souhei Ono of Chiyoda-ku (JP)]][[Category:Souhei Ono of Chiyoda-ku (JP)]]

[[:Category:Taku Ito of Chiyoda-ku (JP)|Taku Ito of Chiyoda-ku (JP)]][[Category:Taku Ito of Chiyoda-ku (JP)]]

==INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18263022 titled 'INFORMATION PROCESSING DEVICE

==Simplified Explanation==

The information processing device includes: an extraction unit for extracting a target user who has used content in a content delivery service providing the content to a user; an acquisition unit for acquiring preference information related to a preference of the target user extracted by the extraction unit and including a plurality of first item values related to a predetermined preference; and a tendency information generation unit for generating tendency information indicating a tendency of the content based on the preference information of the target user acquired by the acquisition unit.

* Extraction unit: Identifies target users who have used content in a content delivery service.
* Acquisition unit: Gathers preference information of the target user, including multiple first item values related to a specific preference.
* Tendency information generation unit: Analyzes the preference information to generate tendency information indicating the content's tendency based on the user's preferences.

== Potential Applications ==
This technology can be applied in personalized content recommendations, targeted advertising, and user behavior analysis.

== Problems Solved ==
This technology helps in understanding user preferences better, enabling more accurate content recommendations and targeted advertising.

== Benefits ==
The benefits of this technology include improved user experience, increased engagement, and higher conversion rates for content delivery services.

== Potential Commercial Applications ==
The potential commercial applications of this technology include content delivery platforms, e-commerce websites, and digital marketing agencies.

== Possible Prior Art ==
One possible prior art for this technology could be personalized recommendation algorithms used in various online platforms to suggest content based on user preferences.

== Unanswered Questions ==

=== How does the device ensure user privacy and data security while acquiring preference information? ===
The device must have robust security measures in place to protect user data and privacy during the acquisition of preference information.

=== What measures are taken to prevent bias in the generated tendency information based on user preferences? ===
It is essential to ensure that the tendency information generated is unbiased and accurately reflects the user's preferences without any external influence.


==Original Abstract Submitted==

The information processing device  includes: an extraction unit  for extracting a target user who has used content in a content delivery service providing the content to a user; an acquisition unit  for acquiring preference information related to a preference of the target user extracted by the extraction unit  and including a plurality of first item values related to a predetermined preference; and a tendency information generation unit  for generating tendency information indicating a tendency of the content based on the preference information of the target user acquired by the acquisition unit 



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