Top all-time · #19035
Daniel Tunkelang
Personal blog · dtunkelang.medium.comaidata
Daniel Tunkelang's personal blog at dtunkelang.medium.com covers ai and data. Since 2021, 4 different Hacker News readers have linked it 6 times. It is still writing: the last post was on 2026-09-29, and you can follow it by feed.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN readers link Daniel Tunkelang's Medium posts on search and faceted search. One commenter calls his book on faceted search pretty good. The other comment discusses top-down and bottom-up ways to compute result counts.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
What Hacker News says?
In general, the two ways to compute counts are top-down, by making a separate query for each filter, or bottom-up, by scanning the results and aggregating the counts, like a group-by. Top-down is good for a small universe of values, but bottom-up tends to be the scalable approach. And, as has been pointed out, you can produce approximations by aggregating a sample of the results -- as long as it is a representative…
Comment linking /search-intent-not-inventory-289386f28a21
on “Reasons to replace advanced search with filters”Submitted Thoughts on Search Result Diversity as a story · 2 points
HN discussionDaniel Tunkelang wrote a book on Faceted Search that is pretty good, turns out he's also on Medium https://dtunkelang.medium.com/facets-of-faceted-search-38c3e... not sure if he's on HN.
Comment linking /facets-of-faceted-search-38c3e1043592
on “Reasons to replace advanced search with filters”Submitted Critical Reasoning and Generative AI as a story · 1 points
HN discussionSubmitted Similarity-Sensitive Diversity as a story · 1 points
HN discussionSubmitted Evaluating Search: Using Human Judgement as a story · 1 points
HN discussion