[wordpress插件] WP RecommenderWP推荐人

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This plugin finds and suggests relevant, potentially interesting content from

此插件可发现并建议来自
的相关，潜在有趣的内容

your blog to visitors.

您的博客给访问者。

The goal is to push the relevant content to the visitor

目的是将相关内容推送给访问者

with the prospect of increase of page views on your blog and eventually

并有望增加您博客上的页面浏览量，并最终

satisfied and returning visitor.

满意且回头客。

Plugin is able to recommend similar posts and pages using two different

Plugin可以使用两种不同的方式推荐相似的帖子和页面

approaches.

方法。

The first is content based and produces list of the most similar

第一个基于内容，并生成最相似的列表

items based on words occurring in both items.

基于两个项目中出现的单词的项目。

Advantage of this approach lies

这种方法的优势在于

in is its simplicity for users to install and it works straight from the start

方便用户安装，并且从一开始就可以正常运行

(there’s no so-called “cold start” period from the collaborative filtering

（从协作过滤中没有所谓的“冷启动”期

approach).

方法）。

The second approach is employing collaborative filtering to identify post and

第二种方法是采用协作过滤来识别帖子和帖子

pages that might interest user.

用户可能感兴趣的页面。

Suggested items are calculated from the users’

建议项目是根据用户的
计算得出的

browsing history that plugin logs on the aliiike server.

插件记录在aliiike服务器上的浏览历史记录。

Server accepts such

服务器接受这样的

logs only if you are registered and you created an account.

仅在您注册并创建帐户后才记录日志。

Disadvantage of

的缺点

this approach is the fact that you need to wait until enough data is logged.

这种方法的事实是您需要等待直到记录了足够的数据。

If the traffic on your site is low it can last for a while.

如果您网站上的流量较低，则可能会持续一段时间。

Advantage of this

优点

approach is the fact that you are modeling users’ behaviour (rather than the

方法是您正在模拟用户的行为（而不是

contents), which in normal circumstances should easily outperform the content

内容），在正常情况下应该会轻易地胜过内容

based approach.

基础的方法。

Important aspect of plugin is its ability to serve recommendation lists to a

插件的重要方面是其向推荐列表提供服务的功能

settable percentage of users only.

仅可设置的用户百分比。

In combination with the Google Analytics

结合Google Analytics（分析）

this feature allows you to perform so-called A/B testing to measure the

此功能使您可以执行所谓的A / B测试以测量

influence of the recommended items on your visitors’ browsing behavior (or

推荐项目对访问者的浏览行为的影响（或

sales increase or decrease in case you are running a web shop).

如果您正在经营网上商店，则销售额会增加或减少。

See the Aliiike recommender homepage

请参见Aliiike推荐者主页

as well as the rest of the site for more information.

以及其他网站的详细信息。

Two different approaches require a bit different installation procedure and

两种不同的方法需要稍微不同的安装过程，并且

have different prerequisites.

有不同的先决条件。

First, I describe the simpler, content based

首先，我描述基于内容的更简单

approach installation.

接近安装。

I.

I。

Content based

基于内容

This approach is currently supported on MySQL database only.

当前仅在MySQL数据库上支持此方法。

In case you use it

万一您使用它

the installation procedure is the following:

安装过程如下：

1. Download the plugin and unpack it to the /wp-content/plugins/ directory.
2. 下载插件并将其解压缩到 / wp-content / plugins / 目录。

3. Activate the plugin through the ‘Plugins’ menu in WordPress.
4. 通过WordPress中的“插件”菜单激活插件。

Should you face problems when creating the fulltext index on database, try to


在数据库上创建全文索引时遇到问题，请尝试


run manually the following SQL query:

手动运行以下SQL查询：

CREATE FULLTEXT INDEX comparator ON wp_posts (post_title, post_content)

创建全文索引比较器打开 wp_posts （ post_title ， post_content ）

II.

II。

Collaborative filtering

协同过滤

This approach logs the visits on your site on aliiike.com server.

这种方法将访问记录在aliiike.com服务器上。

Logging


记录


and recommending requires an account ID therefore:

并推荐需要一个帐户ID，因此：

1. You have to register and create an account for your site on aliiike.com.
2. 您必须在aliiike.com上为您的站点注册并创建一个帐户。

3. Download the plugin and unpack it to the /wp-content/plugins/ directory.
4. 下载插件并将其解压缩到 / wp-content / plugins / 目录。

5. Activate the plugin through the ‘Plugins’ menu in WordPress.
6. 通过WordPress中的“插件”菜单激活插件。

7. Insert an account id and secret key in the recommender settings page.
8. 在推荐器设置页面中插入帐户ID和密钥。

In both approaches you Customize the look and feel via ‘Plugins’ |

在两种方法中，您都可以通过“插件”自定义外观。

‘Aliiike Recommender’ menu.

“ Aliiike Recommender”菜单。