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Relevance is not working in suggestive search. Pulling back old posts even through date is set to pull recent posts first. We have been trying to fix this for days without any success. We are now in danger of missing deadlines and considering moving to a different plugin.
– Old Posts Are Being Prioritized Over Newer Content
– ACF Relationship Field (related_authors) Is Not Being Respected for Relevance
– Suggested Results Do Not Respect Custom Relevance Logic or Grouping ExpectationsHi,
The default primary ordering is by “relevance”, which is basically keyword relevance, and therefore it has nothing to do with the post dates. If newer results are priority, then I would first suggest changing the primary ordering by publish date and the secondary by relevance: https://i.imgur.com/7QZ0D2W.png
That will always display matches within each group ordered by date first.If you want to prioritize custom field values over other fields, then you can adjust the relevance values for that here: https://i.imgur.com/0MzyF2N.png
However the relevance will not matter much if the primary ordering is by date descending.Suggested Results Do Not Respect Custom Relevance Logic or Grouping Expectations
I need much more details on this to be able to help. Can you please elaborate which results are not as expected exactly?We tried changing primary to date, but then all of the pages and people which were created when the site was built were not showing up
In terms of being more descriptive. What I think we would like to be able to do is give a relative weight to the date in order to help lift recent posts.
I also believe it has something to do with the fact that it is going through the database to find matches starting with the oldest entries and then moving to the most recent, because of this if it finds an old result that scores the same as a new result it is returning the old result first.
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What I think we would like to be able to do is give a relative weight to the date in order to help lift recent posts.
I see. Well, that’s not possible out of the box I’m afraid. It might be doable via some custom code, but I’m not sure how complicated it may get. It may get very problematic as you want to somehow add a weight on dates before the query is executed, and that is extremely complicated. You can potentially look at the query related hooks as well as the results hooks, but it’s not going to be that simple.I also believe it has something to do with the fact that it is going through the database to find matches starting with the oldest entries and then moving to the most recent, because of this if it finds an old result that scores the same as a new result it is returning the old result first.
Not really. All the matches are considered the same way, and if the relevance score is the same, then the secondary ordering is used to determine the final order inbetween the the items with the same relevance. However it is very unlikely to have the same relevance score, as it computes the number of full and partial matches, they are weighed etc… It is much more likely that the relevance value comes out higher. Even a single keyword occurence will make a difference in relevance.Instead of trying to custom code and struggle, I would rather make sure that the keyword and the relevance configuration is correct.
– By default the keyword logic should look like this, if it’s different, make sure to change it back.
– If there is no noticable difference, then try to experiment with a bit more strict variation: https://i.imgur.com/vMfYUTz.pngThen consider which field (title, content, custom fields etc..) has the most relevance in your case, and adjust the relevance values accordingly. What I usually do is go with extreme values first, then slowly increase/recuce and observe the changes.
For example, if custom field based matches are significantly more important, then I would start with this configuration: https://i.imgur.com/91RQBFg.png
You can even use 0 values to start off, to see how it looks when only a certain field is prioritized.
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