TeamLab Renews Keio University's Official Website
TeamLab fully renewed Keio University's official website, migrating about 32,000 pages to TeamLab CMS and introducing AI-powered translation and personalized search features.
📋 Article Processing Timeline
- 📰 Published: April 14, 2026 at 00:00
- 🔍 Collected: April 13, 2026 at 16:35
- 🤖 AI Analyzed: April 19, 2026 at 21:05 (148h 29m after Collected)
TeamLab was in charge of planning, design, UI/UX design, development, and data migration from the old site for the full renewal of Keio University's official website.
In this renewal, the goal was not only to provide information on entrance exams and campus life but to create an "entrance to knowing Keio" that multi-dimensionally conveys Keio University's philosophy, education, research, and student life. It is structured so that even those interacting with Keio for the first time can grasp the unique aspects of its learning, the breadth of its research, and the atmosphere of the campus.
To broadcast a consistent message as the entire Keio University, approximately 32,000 pages across 27 sites were migrated to a unified platform. The site structure was reorganized, and a simple UI/UX was realized so that site visitors can smoothly access their desired information from among the vast number of pages.
Furthermore, to disseminate information to a wide variety of users, support for Japanese and English (mirroring) utilizing Keio University's AI platform and support for web accessibility were strengthened.
Consolidating and Organizing Vast Amounts of Information to Drastically Improve Accessibility
Previously, at Keio University, sites were divided by faculty, graduate school, administrative, and research departments, each with its own site structure and operational methods. As a result, information representing Keio University was scattered across 27 sites (about 32,000 pages), posing a challenge in finding information.
To unify them, after reorganizing the content structure within the site, "TeamLab CMS*1" was utilized to create templates so that they could be configured in a common format, and the migration was carried out.
TeamLab CMS enabled centralized management of content within the site and dynamic page generation, building an efficient and highly stable foundation that supports the dissemination of information by each faculty, graduate school, administrative, and research department.
In addition, to technically strengthen the principles of content design, TeamLab's recommendation engine, "TeamLab Recommend*2," was introduced. TeamLab Recommend provides content within the site that is personalized in real-time based on the user's browsing history and attribute information.
Also, to enhance user convenience, a proprietary search engine, "TeamLab Search*3," was introduced. This engine goes beyond simple keyword searches, enabling the customization of search results optimized for each piece of content.
By reorganizing the site's structure and introducing "TeamLab Search" and "TeamLab Recommend," it has become easier to arrive at the desired information from a massive group of pages by making recommendations based on various axes, such as site search, content details, faculties, and faculty members.
Additionally, "Keio BOARD" was newly established, where AI-automatically generated tags are linked to pages, allowing users to search for content by theme. By organically linking the rich content that had not been fully utilized on each site until now, the website has been reborn as a place not just to "search for information" but to "encounter information."
*1 TeamLab CMS
A CMS (Content Management System) package independently developed by TeamLab. We provide solutions that focus on results without being bound by the package.
*2 TeamLab Recommend
Basic search functions include keyword search, refined search, text analysis (morpheme x N-gram), drill-down search, and sorting (by popularity, etc.). We propose the optimal search tailored to the customer's site.
*3 TeamLab Search
By analyzing user behavior history and item text information, we can calculate correlations between items and provide personalized recommendations.
Enhancing English-Japanese Support and Web Accessibility via AI
At Keio University, to actively accept international students and enhance its ability to broadcast overseas as a research institution, strict English-Japanese support was implemented taking this full renewal as an opportunity.
On the other hand, to solve the operational challenge of translating all pages updated daily, a machine translation function using generative AI was incorporated into TeamLab CMS.
Also, to strengthen web accessibility, the goal was set to achieve "JIS X 8341-3:2016" *4 Level AA, realizing a site that is easy to use and view for a wide range of site visitors.
*4 JIS X 8341-3:2016
Guidelines for older persons and persons with disabilities - Information and communications equipment, software and services - Part 3: Web content
In this renewal, the goal was not only to provide information on entrance exams and campus life but to create an "entrance to knowing Keio" that multi-dimensionally conveys Keio University's philosophy, education, research, and student life. It is structured so that even those interacting with Keio for the first time can grasp the unique aspects of its learning, the breadth of its research, and the atmosphere of the campus.
To broadcast a consistent message as the entire Keio University, approximately 32,000 pages across 27 sites were migrated to a unified platform. The site structure was reorganized, and a simple UI/UX was realized so that site visitors can smoothly access their desired information from among the vast number of pages.
Furthermore, to disseminate information to a wide variety of users, support for Japanese and English (mirroring) utilizing Keio University's AI platform and support for web accessibility were strengthened.
Consolidating and Organizing Vast Amounts of Information to Drastically Improve Accessibility
Previously, at Keio University, sites were divided by faculty, graduate school, administrative, and research departments, each with its own site structure and operational methods. As a result, information representing Keio University was scattered across 27 sites (about 32,000 pages), posing a challenge in finding information.
To unify them, after reorganizing the content structure within the site, "TeamLab CMS*1" was utilized to create templates so that they could be configured in a common format, and the migration was carried out.
TeamLab CMS enabled centralized management of content within the site and dynamic page generation, building an efficient and highly stable foundation that supports the dissemination of information by each faculty, graduate school, administrative, and research department.
In addition, to technically strengthen the principles of content design, TeamLab's recommendation engine, "TeamLab Recommend*2," was introduced. TeamLab Recommend provides content within the site that is personalized in real-time based on the user's browsing history and attribute information.
Also, to enhance user convenience, a proprietary search engine, "TeamLab Search*3," was introduced. This engine goes beyond simple keyword searches, enabling the customization of search results optimized for each piece of content.
By reorganizing the site's structure and introducing "TeamLab Search" and "TeamLab Recommend," it has become easier to arrive at the desired information from a massive group of pages by making recommendations based on various axes, such as site search, content details, faculties, and faculty members.
Additionally, "Keio BOARD" was newly established, where AI-automatically generated tags are linked to pages, allowing users to search for content by theme. By organically linking the rich content that had not been fully utilized on each site until now, the website has been reborn as a place not just to "search for information" but to "encounter information."
*1 TeamLab CMS
A CMS (Content Management System) package independently developed by TeamLab. We provide solutions that focus on results without being bound by the package.
*2 TeamLab Recommend
Basic search functions include keyword search, refined search, text analysis (morpheme x N-gram), drill-down search, and sorting (by popularity, etc.). We propose the optimal search tailored to the customer's site.
*3 TeamLab Search
By analyzing user behavior history and item text information, we can calculate correlations between items and provide personalized recommendations.
Enhancing English-Japanese Support and Web Accessibility via AI
At Keio University, to actively accept international students and enhance its ability to broadcast overseas as a research institution, strict English-Japanese support was implemented taking this full renewal as an opportunity.
On the other hand, to solve the operational challenge of translating all pages updated daily, a machine translation function using generative AI was incorporated into TeamLab CMS.
Also, to strengthen web accessibility, the goal was set to achieve "JIS X 8341-3:2016" *4 Level AA, realizing a site that is easy to use and view for a wide range of site visitors.
*4 JIS X 8341-3:2016
Guidelines for older persons and persons with disabilities - Information and communications equipment, software and services - Part 3: Web content