Tag Suggest
If you’re familiar with del.icio.us you will be familiar with the tag suggesting as-you-type support.
The reason why, I believe, the tagging works so well within del.icio.us is that it helps you create a subset of tags that you commonly use for different types of links. This way, it makes it easier to find tagged content later on. i.e. conversely if it didn’t suggest links, it would be likely that you would have different variations or even spellings of the same tag on (what should be) grouped content.
This plugin supports this method of tag suggesting as-you-type.
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一. Highlight高亮查询 a) 三种高亮： i. unified highlighter：默认的高亮方式，使用Lucene的实现方式 ii. plain highlighter：性能较高，消耗少量内存，性价比高 iii. fast vactor highlighter 适合字段较大，较复杂的查询情况 b) 自定义标签 i. pre_tag：起始标签，如 ii. post_tag：结束标签，
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import com.google.android.apps.iosched.provider.ScheduleContract.SearchSuggest; //导入依赖的package包/类 /** {@inheritDoc} */ @Override public Uri insert(Uri uri, ContentValues values) { LOGV(TAG, "insert(ur
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elasicsearchsuggest用法 1 第一步:要使用suggest先配置好 curl -XPUT 192.168.2.20:9200/xiaogu -d' //新建一个xiaogu的索引 { "mappings": { "product": { //这个是_type "properties": {
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/** {@inheritDoc} */ @Override public Uri insert(Uri uri, ContentValues values) { LOGV(TAG, "insert(uri=" + uri + ", values=" + values.toString() + ")"); final SQLiteDatabase db = mOpenHelper.getWrita
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问题来源： 本人在进行jpython的jieba分词时，发现在对不高兴，不开心等词汇进行分词时,将其分开下图 Prefix dict has been built succesfully. [精确模式]: 我 不 喜欢 也 不 高兴 [Finished in 1.7s] 期望形式： 但是我们希望jieba应该分成这种形式，不和高兴是连在一起的来表示消极的程度副词 Prefix dict ha
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'Simulate typing Setting.WebPackage("ReplayType") = 2 'Type some text into the search textbox Browser("Google").Page("Google").WebEdit("q").Set "Tarun Lalwani" 'Wait for 500 msec Wait 0,500 Dim oList
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Unknown constant tag 65 in class file java/util/Spliterators$IteratorSpliterator Error:Internal error: (java.util.concurrent.ExecutionException) java.lang.ClassFormatError: Unknown constant tag 65 in