Title: WP Recommender Author: perrosi Published: 19 Januari 2009 Last modified: 23 Januari 2009 --- Cari plugin Plugin ini **belum teruji dangan 3 rilis besar WordPress**. Kemungkinan tidak lagi dipelihara atau didukung, dan mungkin menghadapi masalah kompatibilitas bila digunakan dengan versi WordPress yang lebih baru. ![](https://s.w.org/plugins/geopattern-icon/aliiike-web-recommender-system.svg) # WP Recommender Oleh [perrosi](https://profiles.wordpress.org/perrosi/) [Unduh](https://downloads.wordpress.org/plugin/aliiike-web-recommender-system.0.1.5.zip) * [Detail](https://id.wordpress.org/plugins/aliiike-web-recommender-system/#description) * [Ulasan](https://id.wordpress.org/plugins/aliiike-web-recommender-system/#reviews) * [Instalasi](https://id.wordpress.org/plugins/aliiike-web-recommender-system/#installation) * [Pengembangan](https://id.wordpress.org/plugins/aliiike-web-recommender-system/#developers) [Bantuan](https://wordpress.org/support/plugin/aliiike-web-recommender-system/) ## Deskripsi This plugin finds and suggests relevant, potentially interesting content from your blog to visitors. The goal is to push the relevant content to the visitor with the prospect of increase of page views on your blog and eventually satisfied and returning visitor. Plugin is able to recommend similar posts and pages using two different approaches. The first is content based and produces list of the most similar items based on words occurring in both items. Advantage of this approach lies in is its simplicity for users to install and it works straight from the start (there’s no so-called “ cold start” period from the collaborative filtering approach). The second approach is employing collaborative filtering to identify post and pages that might interest user. Suggested items are calculated from the users’ browsing history that plugin logs on the aliiike server. Server accepts such logs only if you are registered and you created an account. Disadvantage of this approach is the fact that you need to wait until enough data is logged. If the traffic on your site is low it can last for a while. Advantage of this approach is the fact that you are modeling users’ behaviour (rather than the contents), which in normal circumstances should easily outperform the content based approach. Important aspect of plugin is its ability to serve recommendation lists to a settable percentage of users only. In combination with the Google Analytics this feature allows you to perform so-called A/B testing to measure the influence of the recommended items on your visitors’ browsing behavior (or sales increase or decrease in case you are running a web shop). See the [Aliiike recommender homepage](http://aliiike.com/wordpress/) as well as the rest of the [site](http://aliiike.com) for more information. ## Instalasi Two different approaches require a bit different installation procedure and have different prerequisites. First, I describe the simpler, content based approach installation. I. Content based This approach is currently supported on MySQL database only. In case you use it the installation procedure is the following: 1. Download the plugin and unpack it to the `/wp-content/plugins/` directory. 2. Activate the plugin through the ‘Plugins’ menu in WordPress. Should you face problems when creating the fulltext index on database, try to run manually the following SQL query: CREATE FULLTEXT INDEX `comparator` ON `wp_posts` (`post_title`, `post_content`) II. Collaborative filtering This approach logs the visits on your site on aliiike.com server. Logging and recommending requires an account ID therefore: 1. You have to register and create an account for your site on aliiike.com. 2. Download the plugin and unpack it to the `/wp-content/plugins/` directory. 3. Activate the plugin through the ‘Plugins’ menu in WordPress. 4. Insert an account id and secret key in the recommender settings page. In both approaches you Customize the look and feel via ‘Plugins’ | ‘Aliiike Recommender’ menu. ## Tanya Jawab I welcome you to send some questions on peter.ljubic – AT – aliiike.com. ## Ulasan Belum ada ulasan untuk plugin ini. ## Kontributor & Pengembang “WP Recommender” adalah perangkat lunak open source. Berikut ini mereka yang sudah berkontribusi pada plugin ini. Kontributor * [ perrosi ](https://profiles.wordpress.org/perrosi/) [Terjemahkan “WP Recommender” dalam bahasa Anda.](https://translate.wordpress.org/projects/wp-plugins/aliiike-web-recommender-system) ### Tertarik mengembangkan? [Lihat kode](https://plugins.trac.wordpress.org/browser/aliiike-web-recommender-system/), periksa [repositori SVN ](https://plugins.svn.wordpress.org/aliiike-web-recommender-system/), atau mendaftar ke [log pengembangan](https://plugins.trac.wordpress.org/log/aliiike-web-recommender-system/) melalui [RSS](https://plugins.trac.wordpress.org/log/aliiike-web-recommender-system/?limit=100&mode=stop_on_copy&format=rss). ## Meta * Versi **0.1.5** * Diperbarui **18 tahun yang lalu** * Instalasi Aktif **10+** * Versi WordPress ** 2.4 atau yang terbaru ** * Diuji hingga **2.7** * Bahasa * [English (US)](https://wordpress.org/plugins/aliiike-web-recommender-system/) * Tag * [collaborative filtering](https://id.wordpress.org/plugins/tags/collaborative-filtering/) [recommendations](https://id.wordpress.org/plugins/tags/recommendations/)[widget](https://id.wordpress.org/plugins/tags/widget/) * [Tampilan lanjut](https://id.wordpress.org/plugins/aliiike-web-recommender-system/advanced/) ## Rating No reviews have been submitted yet. [Your review](https://wordpress.org/support/plugin/aliiike-web-recommender-system/reviews/#new-post) [Lihat semua ulasan](https://wordpress.org/support/plugin/aliiike-web-recommender-system/reviews/) ## Kontributor * [ perrosi ](https://profiles.wordpress.org/perrosi/) ## Bantuan Ada yang ingin dikatakan? Butuh bantuan? [Lihat forum bantuan](https://wordpress.org/support/plugin/aliiike-web-recommender-system/)