Music & Video Data

Music & Video Data Services

As the ways people enjoy music and video continue to diversify and vast amounts of new content are released every day, accurate, usable data is essential to helping users discover content that is right for them.

Drawing on data and technologies developed in entertainment, particularly music and video, Sockets provides support tailored to each service and business need—from data delivery to search, recommendation and personalization, system development, and ongoing data operations.

Data That Deepens Understanding of Content

Sockets develops and provides not only basic information on songs, artists, films, dramas, and anime, but also a wide range of contextual data surrounding each work. By capturing relationships among content, people, creators, and characters, along with features, worldview, and emotional characteristics, we build data that can be used for search, recommendation, service operations, and many other applications.

Music

We develop data on the many elements that make up music content, including songs, artists, albums, and lyrics.

By combining basic content information with musical characteristics, emotional metadata, and relationships among artists and works, we support a wide range of music-service experiences, including search, recommendation, and personalization.

Our coverage extends beyond Japanese music to a broad range of genres, including K-pop and international music, with data maintained continuously by staff with specialist knowledge.

Key Data ExamplesSongs / Artists / Albums / Lyrics / LRC / Genres / Emotional Metadata / Related Information, etc.

Video

We develop data not only on films, dramas, and anime, but also on the information surrounding each title, including cast, staff, characters, original works, theme songs, and series information.

By capturing cross-entertainment relationships—such as those between original works and screen adaptations, cast members and characters, and content and music—we support services that help users understand content more deeply and discover new works.

Key Data ExamplesTitles / Cast / Staff / Characters / Original Works / Theme Songs / Series / Related Titles, etc.

PLUS / CROSS MEDIA

Cross-Media Data That Connects Content Across Formats

In addition to building detailed music and video data, Sockets develops cross-media data that connects works and products derived from the same IP across different media.

Original novels, comics, anime, films, dramas, theme songs, games, merchandise, and other forms of content are organized around a common IP. We also systematically capture relationships created through adaptation, merchandising, collaboration, and promotional tie-ins.

By representing the broader reach of an IP as data—something difficult to see from individual titles alone—we expand the use of data beyond search and recommendation into analysis, planning, and marketing.

Expanding Data Applications around IP

By treating cross-media relationships as a single data foundation, we enable broader applications across IP planning and production, distribution, marketing, licensing, and secondary use.

Key Cross-Media Data Categories

Original Novels
Comics
Anime
Films & Dramas
Theme Songs & Music
Games
Merchandise
Collaborations & Tie-ins

Scale of Cross-Media Data

IP Content 20,000

Media Titles 950,000

Recorded Relationships 1.2 Million+

As of September 2026

Turning Data into Service Value

Sockets goes beyond providing data itself. We also support the functions, systems, and operations required to make effective use of data according to each service objective and desired user experience.

01

Data Delivery

We provide a wide range of data centered on music and video according to the service and use case. Rather than simply delivering existing datasets, we can design required information, reconcile and integrate data, and connect it with existing client data to meet individual requirements.

02

Search & Discovery

We provide search functions that leverage data structures specialized for entertainment, going beyond simple searches by title or person. Matching can account for spelling variations, aliases, and typos, while relationship data and emotional characteristics can support richer exploration and help users reach the content they are looking for.

03

Recommendation / Personalization

We analyze user activity together with content data and emotional information to support personalized discovery. By using cross-domain music and video data along with content characteristics and emotional metadata, we enable recommendations and personalization that go beyond simple popularity rankings or similarity.

04

System Development & Service Planning / Operations

We also develop systems and functions for using data, including integration with existing services and systems.

Database integration and development of web services and applications
Data updates, planning, and operations required for ongoing services
Metadata-driven analysis to support customer understanding, content acquisition for video subscription and other services, and service improvement

Support is tailored to the stage and needs of each business or service.

Data Creation

Support Starting with Creating the Data Itself

Sockets can do more than provide existing data: we can design and build the data itself to meet the needs of a service or business.

When the required data does not yet exist, we first understand the content or service, then design the data fields and rules, source relevant information, and generate or curate data through human expertise. As the dataset grows, machine learning and AI can be introduced where appropriate to balance quality with operational efficiency.

Design required data fields and rules

Source data

Generate and curate data with human expertise

Improve efficiency with AI and machine learning

Continuously operate and update the data

Entertainment Data Quality Built through Years of Operations

01

Entertainment Expertise

Staff with specialist knowledge in music, film, drama, anime, and other fields curate data with an understanding of the characteristics of each work and service.

02

Combining Human Expertise and Technology

We combine information that requires human judgment with the efficiency of AI and machine learning to pursue the data quality best suited to each use case.

03

Continuous Operations

Entertainment data requires constant updates as new works are released, relationships among people and content change, and service environments evolve. We provide continuous data maintenance and updating based on years of operational experience.

How We Can Help

We need to source and maintain music or video data for our service
We want to resolve naming variations and duplicates in our existing data
We want to improve search accuracy
We want to help users discover new content
We want to introduce or improve recommendation and personalization
We want to connect our own data with external entertainment data
We want to design and create the necessary data from the ground up

From providing existing datasets to designing and building new data, search and recommendation, and system development and operations, we propose solutions tailored to your goals and challenges.

Proven Results