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用 jp 的分词可以有不错的效果,但是还是有点坑,感觉还是应该手动搞个结巴分词啥的
听说文章很多的时候用 lunr 得到的 json 会太大 (这个要日后再 check 一下) upd: mkdocs v1.0 之后,改起来变得好麻烦,感觉要弃坑了
可以试下部署个 elasticsearch
algolia https://github.com/squidfunk/mkdocs-material/issues/414 这个好像在 v1.0 修复了 感觉可以试一下的样子
https://github.com/squidfunk/mkdocs-material/issues/414
百度站内:
<script type="text/javascript">(function(){document.write(unescape('%3Cdiv id="bdcs"%3E%3C/div%3E'));var bdcs = document.createElement('script');bdcs.type = 'text/javascript';bdcs.async = true;bdcs.src = 'http://znsv.baidu.com/customer_search/api/js?sid=16621994376039180257' + '&plate_url=' + encodeURIComponent(window.location.href) + '&t=' + Math.ceil(new Date()/3600000);var s = document.getElementsByTagName('script')[0];s.parentNode.insertBefore(bdcs, s);})();</script>
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#402
Ir1d
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用 jp 的分词可以有不错的效果,但是还是有点坑,感觉还是应该手动搞个结巴分词啥的
听说文章很多的时候用 lunr 得到的 json 会太大 (这个要日后再 check 一下)
upd: mkdocs v1.0 之后,改起来变得好麻烦,感觉要弃坑了
可以试下部署个 elasticsearch
algolia
https://github.com/squidfunk/mkdocs-material/issues/414
这个好像在 v1.0 修复了 感觉可以试一下的样子百度站内:
The text was updated successfully, but these errors were encountered: