At the inaugural Research Triangle Search Meetup, Doug Turnbull will be speaking about Elasticsearch Learning to Rank. LexisNexis will be the gracious hosts and sponsors.
Search relevance is how user queries are answered through search. It’s the process of changing the ranking of search results for a user query to return what users want. A search for ‘iPhone XS’ should rank documents highly when the product name matches. But a different query, ‘smartphone with two cameras’ would require a completely different strategy for ranking candidate results. What gives teams a headache is that all the diverse use cases for search must be handled by a single ranking algorithm.
This is where Learning to Rank comes in. We will discuss how search can be treated as a machine learning problem. Learning to Rank takes the step to returning optimized results to users based on patterns in usage behavior. We will talk through where Learning to Rank has shined, as well as the limitations of a machine learning-based solution to improve search relevance.
- 6:00pm - Food will be served!
- 6:45pm - We will begin the evening presentation.
- 8:00pm - Time to close up and leave.
The meeting will take place at the downtown FITCI location at 118 N Market Street (next to Brewer’s Alley). On-street parking is available and free at that time of the evening, or the large Church Street parking garage is directly behind the building and available at a nominal fee ($2).