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 <justin.ormont(a)gmail.com> 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 <
ebernhardson(a)wikimedia.org> wrote:
2 | 34214 | 14.26%
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