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Quepid (http://quepid.com http://quepid.com) and Splainer (http://splainer.io http://splainer.io) both are tools I created a long time ago to work on improving
by softwaredoug 5y ago
Quepid (http://quepid.com http://quepid.com) and Splainer (http://splainer.io http://splainer.io) both are tools I created a long time ago to work on improving search result relevance in Solr or Elasticsearch. Both are open source.
I literally started coding Quepid next to a colleague complaining about search so I could help them. It’s basically a kind of test driven approach to continually tuning and proving you’re not harming existing use cases too much. The first version that day was super hacky :) but it worked: it was a “single page server side application” ;). Just dumping a huge HTML page from flask about how our search was doing based on stakeholder feedback.
Nothing out there existed that did what I needed. Tooling around search engines for relevance just wasn’t great. In part because it wasn’t paid as much attention to ~10 years ago when I worked on creating these tools.
- graderjs 5y agoCool! :) I'll definitely take a look at this. I'm working on a search thing now and need some way to measure and improve search result to query relevance. Thanks for posting! :p ;) xx
- jll29 5y agoThere is a new, emerging job role, the "relevance engineer", who ensures that search results stay relevant as content sets changes. In London, the annual Search Engine Solutions meeting (each autumn/fall) organized by the BCS IRSG (Chartered Institute of IT's Information Retrieval Specialist Group) provides a forum for search practitioners to exchange best practices. Here's the report from the 2020 meeting: https://irsg.bcs.org/informer/2021/01/search-solutions-2020-conference-report/?utm_source=rss&utm_medium=rss&utm_campaign=search-solutions-2020-conference-report https://irsg.bcs.org/informer/2021/01/search-solutions-2020-... Talk proposals, demo proposals, tutorials etc. welcome.