hoo added subscribers: mkroetzsch, daniel.
hoo added a comment.
I've just looked into this and I think the problem is that the suggester is
using a very naive way to select its suggestions. It basically queries for
probable matches by each property id that is used on an item individually,
which highly prefers properties that have a few high probable matches.
Put more mathematically (partly taken from the thesis about this):
`Q` is the item we want suggestions for and `Properties(Q)` is the set of
properties used in Statements on it.
For each pair `P1 ∈ Properties(Q)`, `P2 ∉ Properties(Q)` we look at the
confidence that `P1 => P2` (without taking any further context into account).
We also look for the confidence `(P31, Q) => P2` (where `P31` is instance of).
Later on a list of all these `P2`s (ordered by confidence) is returned (the
ones found with the `(P31, Q)` pair and the ones found by just looking by a
given `P1` are treated equally).
We probably want to move away from selecting these `P2`s individually by `P1`
and try to get correlations for all Properties at the same time (`Properties(Q)
=> P2`) or by combining the individual probability of each `P1` with the one
from the `(P31, Q)` pair (`{P1, (P31, Q)} => P2`.
TASK DETAIL
https://phabricator.wikimedia.org/T132839
EMAIL PREFERENCES
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To: hoo
Cc: daniel, mkroetzsch, Stashbot, thiemowmde, JanZerebecki, Lydia_Pintscher,
hoo, Sjoerddebruin, Nikki, Aklapper, D3r1ck01, Izno, Wikidata-bugs, aude,
Mbch331
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