It would also be interesting to know the type of page that becomes their destination
Person Object News Concept Etc. Some are easier to describe and predict, aligns with a search length too. -- billinghurst On Wed, 10 Feb 2016 22:01 Justin Ormont <[email protected]> wrote: > This is great. Do you have any categories tracked that could be > interesting to break the position click-rates down by? eg: navigational vs. > explorative queries, SAT clicks (satisfied user's query intent) vs. DSAT > clicks (not satisfied), requery rate (how many times a user reformulates a > new query in a session), time-to-first-click, search session duration, > user's country/default language/# edits, length of query (# of query > tokens), # of query results, popular vs. uncommon queries, high scoring > SERP vs. low scoring SERP (or a proxy like Max BM25F of the top result), > speller was click vs. not clicked, category of page clicked on, popular > pages vs. rarely visited pages, etc. > > This experiment running on Special:Search is nice as that page doesn't > automatically redirect when the query exactly matches a page. > > You can measure the positional importance by setting up an A/B test where > you flip position 2 & 3. Also, a slowdown experiment would tell you the > impact of latency, and help focus engineering efforts towards precision, or > latency improvements. > > --justin > > > On Tue, Feb 9, 2016 at 9:53 AM, Erik Bernhardson < > [email protected]> wrote: > >> 2 | 34214 | 14.26% > > > > _______________________________________________ > discovery mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/discovery >
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