I just got back from a fantastic trip to Dublin, Ireland for last week’s Lucene/Solr Revolution EU. I was privileged this year to to present a deep dive (75 minute) session on “Enhancing Relevancy through Personalization & Semantic Search.” I appreciate all the great questions and feedback from everyone who attended. The video is not ready just yet (it will be posted soon), but the slides are now available.
Talk Summary: Matching keywords is just step one in the effort to maximize the relevancy of your search platform. In this talk, you’ll learn how to implement advanced relevancy techniques which enable your search platform to “learn” from your content and users’ behavior.
Topics will include automatic synonym discovery, latent semantic indexing, payload scoring, document-to-document searching, foreground vs. background corpus analysis for interesting term extraction, collaborative filtering, and mining user behavior to drive geographically and conceptually personalized search results.
You’ll learn how CareerBuilder has enhanced Solr (also utilizing Hadoop) to dynamically discover relationships between data and behavior, and how you can implement similar techniques to greatly enhance the relevancy of your search platform.