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千葉工業大学 — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in College Education →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
waseda.jp 55* match 早稲田大学 Japan ja College EducationWordPress none
naist.jp 55* match 奈良先端科学技術大学院大学 Japan ja College Education none
idai.net 55* match 医大病院・医学部検索の医大ネット ja College Education none
wasedaalumni.jp 55* match 早稲田大学 校友会 Japan ja College EducationWordPress robots none
tudelft.nl 55* match TU Delft | Technische Universiteit Delft | Challenge. Change. Impact! Netherlands nl College EducationTYPO3 email none
tu-dresden.de 55* match Technische Universität Dresden — TU Dresden Germany de College Education robots none
aalto.fi 55* match Aalto-yliopisto Finland fi College EducationDrupal none
tue.nl 55* match Eindhoven University of Technology Netherlands nl College EducationTYPO3 phone none
kth.se 55* match KTH - Sveriges största tekniska universitet | KTH Sweden sv College Education robots none
umontreal.ca 55* match Université de Montréal Canada fr College EducationTYPO3 phone none
utwente.nl 55* match Universiteit Twente (UT) | Enschede Netherlands nl College Education emailphone none
upm.es 55* match Universidad Politécnica de Madrid Spain es College Education none
ulaval.ca 55* match Bienvenue à l'Université Laval | ULaval | Ville de Québec, Canada Canada fr College EducationDrupal phone none
upc.edu 55* match UPC - Universitat Politècnica de Catalunya ca College Education email none
osu-koyukai.net 28* match 大阪産業大学校友会 ja College Education none
univ.coop 28* match 大学生協事業連合 ja College Education robots none
araki-bookstore.com 28* match 荒木書店 | 岡山県立大学 学生様向け 教科書販売ページ ja College EducationWordPress robots none
oist.jp 18* match Okinawa Institute of Science and Technology OIST Japan ja College EducationDrupal robots none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

  • shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
  • same category whether they sit in the same business / industry category.
  • content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.