A series of ipython notebooks showing how to evaluate search performance of a given website (in this case


Search Analysis for

  • What is the purpose of this POC:These are the results of a search performance analysis we (Thomas Eberman, Lukasz) performed for
  • Its is a methodology to measure F1 scores for relevant search terms and see how well the search performs.

Link to DEMO or 30s VIDEO of the project


  • What is the benefit for the customer: The customer will get a better search that has a better relevance and retrieval rate.
  • What is the benefit for the business: The business owner learns how well his search performs and where he might need to improve, also what he might learn about his customers by learning what they search for.


  • How much MD did you use to build it: 3MD.


  • Which data is it based on: Search exports from PIWIK.

Used Technologies

  • Which technologies were used: PIWIK, SOLR


  • Which things could be build with this POC if you had more time: A well rounded search audit could be performed for each customer that Liip has.