Who Cited It

Learning to rank using gradient descent

2005 · 2,796 citations · 2 from inside this corpus

Chris Burges, Tal Shaked low, Erin Renshaw low, Ari Lazier low, Matt Deeds low, Nicole Hamilton low, Greg Hullender low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Learning to rank using gradient descent (2005)Learning to rank using gradie…The Probabilistic Relevance Framework: BM25 and Beyond (2009)The Probabilistic Relevance F…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…
2 of 2 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

PaperYearCited
The Probabilistic Relevance Framework: BM25 and Beyond20093,123
Learning deep structured semantic models for web search using clickthrough data20132,099

Links

DOI · OpenAlex record

Topics

Machine Learning and AlgorithmsComputer Science
Bayesian Modeling and Causal InferenceComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports7 author record(s) attached.
  • supports17 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…