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お得で賢いホテル旅館の選び方と使い方 · ranked by category · tech stack · backlink co-citation
53match
banco-tabi.com
旅コンシャス|旅と暮らしを快適に、シームレスに楽しむ!
4 co-citations11 shared tech1 shared categorytravel
44match
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41match
kyamax.com
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3 co-citations6 shared tech1 shared categorytravel
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2 co-citations7 shared tech1 shared categorytravel
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3 co-citations9 shared tech1 shared categoryhotels-and-motels
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3 co-citations9 shared tech0 shared categoryeurope-travel
36match
hodohodo-thoughts.com
Hodologは、都内在住の外資系会社員がゆるーく日常を綴るブログ
1 co-citations10 shared tech1 shared categorytravel
36match
3bakayottu.com
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2 co-citations8 shared tech1 shared categorytravel
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hitori-joshi-tabi.com
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0 co-citations8 shared tech2 shared categoryhotels-and-motels
35match
guglecus.com
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0 co-citations8 shared tech2 shared categoryhotels-and-motels
34match
celeste-miyakojima.com
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2 co-citations8 shared tech1 shared categorytravel-locations
33match
japanlocaltourguide.com
Japan Local Tour Guide
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33match
hibimile.com
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2 co-citations6 shared tech1 shared categorytravel
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まったり空の旅
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32match
hobby-camp.com
趣味・・・キャンプ? – 夫婦にとってほぼ修行
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31match
haute-hotel.com
HAUTE-HOTEL(オートホテル):高級ホテル専門サイト|
2 co-citations10 shared tech1 shared categoryhotels-and-motels
31match
botchikuma.com
マイペースで行こう
2 co-citations6 shared tech1 shared categorytravel
31match
anzubora.com
#お洒落空間ログ | 旅の目的にしたくなる唯一無二の空間
0 co-citations8 shared tech2 shared categorytravel

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:

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.