Drupal DevDays Barcelona 2012
Kendra Match: Personalisation and Recommendations using Drupal Speakers: Klokie Grossfeld (@klokie), Daniel Harris (@dahacouk) Most social networks and commerce websites are providing their users with friend and product recommendations. Ever wanted to add powerful user- and item-based recommendations to your social or commerce site? By integrating an advanced and proven recommendation engine (Apache Mahout) to do the heavy lifting, we can do this with Drupal too. This approach allows us to take advantage of the benefits of Mahout, including massive scalability and advanced computational algorithms, while keeping all of our data in Drupal. And we are not just limited to recommending users and products - this demonstration will include an example video recommender, and the possibilities are limitless! In this session we'll be taking a closer look at Apache Mahout, the Recommender API for Drupal, and options for how to integrate the two, including a discussion of advanced customisation. We'll also discuss the implications and advantages of taking a loosely-coupled approach between the various systems, leveraging the Async Command module for processing the recommendations asynchronously. Slides at: http://www.slideshare.net/klokieg/drupal-devdays-barcelona-session-recommendations-in-drupal Summary at: http://barcelona2012.drupaldays.org/sessions/personalisation-and-recommendations-using-drupal Original at: https://vimeo.com/50574395
Kendra Match: Personalisation and Recommendations using Drupal Speakers: Klokie Grossfeld (@klokie), Daniel Harris (@dahacouk) Most social networks and commerce websites are providing their users with friend and product recommendations. Ever wanted to add powerful user- and item-based recommendations to your social or commerce site? By integrating an advanced and proven recommendation engine (Apache Mahout) to do the heavy lifting, we can do this with Drupal too. This approach allows us to take advantage of the benefits of Mahout, including massive scalability and advanced computational algorithms, while keeping all of our data in Drupal. And we are not just limited to recommending users and products - this demonstration will include an example video recommender, and the possibilities are limitless! In this session we'll be taking a closer look at Apache Mahout, the Recommender API for Drupal, and options for how to integrate the two, including a discussion of advanced customisation. We'll also discuss the implications and advantages of taking a loosely-coupled approach between the various systems, leveraging the Async Command module for processing the recommendations asynchronously. Slides at: http://www.slideshare.net/klokieg/drupal-devdays-barcelona-session-recommendations-in-drupal Summary at: http://barcelona2012.drupaldays.org/sessions/personalisation-and-recommendations-using-drupal Original at: https://vimeo.com/50574395