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百度指数如何防范各种作弊的行为？发现作弊嫌疑，如何处理？

百度指数采取了一系列措施来防范各种作弊行为，包括但不限于： 1. 建立反作弊机制，对数据进行严格控制和监测，对作弊行为及时发现并处理。 2. 采用多种算法技术，对数据进行智能分析和判断，判定是否存在作弊嫌疑。 3. 对数据来源进行认证，确保数据来源的真实性和可信度。 4. 定期进行数据清理和排查，剔除异常数据。如果发现作弊嫌疑，百度指数会采取相应的处理措施，具体处理方式取决于作弊行为的严重程度和影响范围。可能的处理方式包括但不限于： 1. 取消相关指数数据的发布和公布。 2. 对作弊行为涉及的账号和IP地址进行封禁和制裁。 3. 向相关部门报告作弊行为并配合调查和取证。需要注意的是，百度指数严禁任何形式的作弊行为，如果发现作弊行为将严肃追究法律责任。

Public @ 2023-04-21 04:00:18

搜索引擎优化也要与时俱进

搜索引擎优化有它不会轻易改变的宗旨，也就是你的网站要符合搜索引擎的根本目的，给用户提供有用相关的信息。我想不管搜索引擎索引和排名技术怎么变化，这个宗旨在一段历史时期内不会有什么大的变化。如果哪个搜索引擎脱离了这个根本目的，它也就离失败不远了。所以对网站运行者来说，你就必须提供大量对用户有用，与网站主题相关，最好是独创的大量内容。SEO也有它与时俱进的地方。随着搜索引擎爬行索引和排名算法的改进，搜索

Public @ 2009-08-08 15:27:38

为什么同样类型或相近的网站，有的可以被收录，有的则不被收录？

360搜索是以用户体验和用户安全为原则进行网站收录的，我们会对高质量原创且符合用户需求的站点进行收录，一些资源可替代并且质量较差的内容，甚至非原创采集的内容，我们将酌情收录或不收录。建议您根据我们发布的《360搜索网页质量白皮书》，进行排查，并调整与优化。

Public @ 2015-09-03 15:55:46

百度指数是怎样计算的？

百度指数基于百度海量数据，一方面进行关键词搜索热度分析，另一方面深度挖掘舆情信息、市场需求、用户特征等多方面的数据特征。百度指数每天更新一次，并且提供自2006年6月至今任意时间段的PC端搜索指数，2011年1月至今的移动端无线搜索指数。

Public @ 2014-04-10 16:23:01

百度指数高级技巧

关键词比较检索：在多个关键词当中，用逗号将不同的关键词隔开，可以实现关键词数据的比较查询，并且，曲线图上会用不同颜色的曲线加以区分。例如，您可以检索“计算机,互联网,百度,百度指数,百度新闻”。目前，百度指数最多支持5个关键词的比较检索。关键词数据累加检索：在多个关键词当中，利用加号将不同的关键词相连接，可以实现不同关键词数据相加。相加后的汇总数据作为一个组合关键词展现出来。例如，您可以检索“百度

Public @ 2014-03-23 16:23:00

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[ DB ] CONNECT:[ UseTime:0.026685s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.019643s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7530 LIMIT 1 [ RunTime:0.018551s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='cate' order by times desc limit 15 [ RunTime:0.018455s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.018527s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.018718s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7530 LIMIT 1 [ RunTime:0.017969s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] update `ob_article` set views=views+1 where id=7530 [ RunTime:0.019014s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海了解搜索引擎' AND `status` <> -1 LIMIT 1 [ RunTime:0.025522s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海了解搜索引擎' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.036972s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度指数' AND `status` <> -1 LIMIT 1 [ RunTime:0.026287s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度指数' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.036343s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where; Using temporary; Using filesort', ) ]

0.481738s

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