I was thinking about how I search through my email this morning and worked out that sometimes I know more about *when* an email happened than what it said or who it was from. This is a rare thing, but generalizing, I quickly worked out that this would be a great addition to any/all search interface(s) if done well.
I want to be able to specify where in time I think my known item search should look. I think it could be done fairly simply with a well-designed normal distribution curve.
I want to see a timeline (aka a landscape-oriented rectangle) with a distribution curve that I can drag around. I would be centering the curve on *when* I wanted to focus my search.
The search itself would still do fulltext and weight like before, but now, would scale that prior weighting by how well it fit under my specified curve.
I have not done any due-diligence in looking through the information retrieval literature, but I have not seen this interface before and it seems like it would be very helpful for certain types of known-item, time-based queries.
Things that are not within my “window of interest” would be punished with a reduced relevance score in my overall search results. Things that matched my curve, in time, would receive a boost. Otherwise, the search behaves as it always has. This would simply be an addition parameter that gives more power to the searcher who knows *when* they’re looking for.
Has anyone seen anything like this before? Where?
Tags: email - normal distribution - PIM - retrieval - search - timeline
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