Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

October 8, 2013

Quepid [Topic Map Tuning?]

Filed under: Recommendation,Searching,Solr — Patrick Durusau @ 4:36 pm

Measure and Improve Search Quality with Quepid by Doug Turnbull.

From the post:

Let’s face it, returning good search results means making money. To this end, we’re often hired to tune search to ensure that search results are as close as possible to the intent of a user’s search query. Matching users intent to results, what we call “relevancy” is what gets us up in the morning. It’s what drives us to think hard about the dark mysteries of tuning Solr or machine-learning topics such as recommendation-based product search.

While we can do amazing feats of wizardry to make individual improvements, it’s impossible with today’s tools to do much more than prove that one problem has been solved. Search engines rank results based on a single set of rules. This single set of rules is in charge of how all searches are ranked. It’s very likely that even as we solve one problem by modifying those rules, we create another problem — or dozens of them, perhaps far more devastating than the original problem we solved.

Quepid is our instant search quality testing product. Born out of our years of experience tuning search, Quepid has become our go to tool for relevancy problems. Built around the idea of Test Driven Relevancy, Quepid allows the search developer to collaborate with product and content experts to

  1. Identify, store, and execute important queries
  2. Provide statistics/rankings that measure the quality of a search query
  3. Tune search relevancy
  4. Immediately visualize the impact of tuning on queries
  5. Rinse & Repeat Instantly

The result is a tool that empowers search developers to experiment with the impact of changes across the search experience and prove to their bosses that nothing broke. Confident in that data will prove or disprove their ideas instantly, developers are even freer experiment more than they might ever have before.

Any thoughts on automating a similar cycle to test the adding of subjects to a topic map?

Or adding subject identifies that would trigger additional merging?

Or just reporting the merging over and above what was already present?

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