是PMDG的机模都可以用这个导航数据

Stackoverflow标签预测 业务问题 Stack Overflow是最大，最受信任的在线社区，供开发人员学习，共享其编程知识并建立自己的职业生涯。 堆栈溢出是每个程序员都以一种或另一种方式使用的东西。 每个月，超过5000万的开发人员来Stack Overflow学习，分享他们的知识并建立自己的职业生涯。 它以关于计算机编程的广泛主题的问题和答案为特色。 该网站为用户提供了一个提问和回答问题的平台，并通过成员资格和积极参与，以类似于Wiki或Digg的方式对问题和答案进行上下投票以及编辑问题和答案。 截至2014年4月，Stack Overflow已拥有超过4,000,000个注册用户，并且在2015年8月下旬，它已超过10,000,000个问题。基于分配给问题的标签的类型，该网站上讨论最多的八个主题是：Java，JavaScript，C＃，PHP ，Android，jQuery，

最新防封技术,QQ微信,去拦截直接跳转浏览器源码,永不被封,永不报毒100%有效.zip最新防封技术,QQ微信,去拦截直接跳转浏览器源码,永不被封,永不报毒100%有效.zip

本文件是论文《Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling》的原文翻译，是我通过 Google 翻译及我自己的理解翻译而来的。在翻译的内容中有很多英文标记的地方，便于结合原文进行理解。感谢论文原作者的辛苦实践，/bq，如有侵权，请联系我删除，谢谢~/bq。 [摘要] With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose a deep neural network approach to solve this problem by mapping both the tag-based user and item profiles to an abstract deep feature space, where the deepsemantic similarities between users and their target items (resp., irrelevant items) are maximized (resp., minimized). Due to huge numbers of online items, the training of this model is usually computationally expensive in the real-world context. Therefore, we introduce negative sampling, which significantly increases the model’s training efficiency (109.6 times quicker) and ensures the scalability in practice. Experimental results show that our model can significantly outperform the state-of-the-art baselines in tag-aware personalized recommendation: e.g., its mean reciprocal rank is between 5.7 and 16.5 times better than the baselines.

phpcms_tag热门调用插件首先将压缩包解压以后将phpcms文件夹放到根目录覆盖原来的文件夹然后打开phpcms/model/content_model.class.php 找到if(!$isimport && $data['status']==99) {在他的上面添加如下代码 if($systeminfo['keywords']){ $this->db_tags = pc_base::load_model('tags_model'); //$this->db_tags_content = pc_base::load_model('tags_content_model'); $keywords = strpos($systeminfo['keywords'], ',') !== false ? explode(',', $systeminfo['keywords']) : explode(' ', $systeminfo['keywords']); $sql = ''; foreach($keywords as $key){ if($this->db_tags->get_one("`tag`='$key'", 'tagid')){ $this->db_tags->query("UPDATE `phpcms_tags` SET `usetimes`=usetimes+1 WHERE tag='$key'"); }else{ $this->db_tags->query("INSERT INTO `phpcms_tags`(`tag`,`usetimes`,`lastusetime`,`lasthittime`)VALUES('$key',1,".SYS_TIME.",".SYS_TIME.")"); } $sql .= ",('$key','$urls[0]','$systeminfo[title]',$this->siteid,$modelid,$id,$systeminfo[catid],".SYS_TIME.")\n"; } if($sql){ $sql = "INSERT INTO `phpcms_tags_content` (`tag`,`url`,`title`,`siteid`,`modelid`,`contentid`,`catid`,`updatetime`) VALUES ".substr($sql, 1); $this->db_tags->query($sql); } } 找到$this->content_check_db->update($check_data,array('checkid'=>'c-'.$id.'-'.$this->modelid)); 在他的下面添加如下代码 if($systeminfo['keywords']){ $this->db_tags = pc_base::load_model('tags_model'); $this->db_tags_content = pc_base::load_model('tags_content_model'); $keywords = strpos($systeminfo['keywords'], ',') !== false ? explode(',', $systeminfo['keywords']) : explode(' ', $systeminfo['keywords']); $sql = ''; foreach($keywords as $key){ if(!$this->db_tags_content->get_one("`tag`='$key' AND `contentid` = $id AND `catid` =$systeminfo[catid] ", 'contentid')){ if($this->db_tags->get_one("`tag`='$key'", 'tagid')){ $this->db_tags->query("UPDATE `phpcms_tags` SET `usetimes`=usetimes+1 WHERE tag='$key'"); }else{ $this->db_tags->query("INSERT INTO `phpcms_tags`(`tag`,`usetimes`,`lastusetime`,`lasthittime`)VALUES('$key',1,".SYS_TIME.",".SYS_TIME.")"); } $sql .= ",('$key','$urls[0]','$systeminfo[title]',$this->siteid,$this->modelid,$id,$systeminfo[catid],".SYS_TIME.")\n"; } } if($sql){ $sql = "INSERT INTO `phpcms_tags_content` (`tag`,`url`,`title`,`siteid`,`modelid`,`contentid`,`catid`,`updatetime`) VALUES ".substr($sql, 1); $this->db_tags->query($sql); } } // 添加到 tags 表结束 然后进入后台管理模块;可以看到TAG标签模块;点安装;再重建引索即可 最后再使用Get SQL语句就可以把热门标签调用出来了

易语言测试IP 摄像头SDK 测试 初始化 注册 错误检测 海康易语言测试IP 摄像头SDK海康易语言测试IP 摄像头SDK

很好的东东哦。不会使用IP175的小盆友一定要学习下啊。

Ethereal

段位修复 如何检测固件的好坏 伺服坏道使用方法 针对修复完成后硬盘有红绿的处理方法 硬盘进入软件不能进入F3T显示SATA解决方法 1-2段位报错M指令处理方法

MATLAB Simulink与控制系统仿真