What is recorded here?
Trained a scalar neural ranking function from document pairs using logistic score differences and cross-entropy loss, extending backpropagation to pairwise preferences while retaining individual-item scoring at inference.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Pairwise loss does not directly optimize every listwise retrieval metric, nor guarantee global neural optimization. Does not invent gradient descent, pairwise preference learning or logistic models.
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People and systems
Chris Burges; Tal Shaked; Erin Renshaw; Ari Lazier; Matt Deeds; Nicole Hamilton; Greg Hullender
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
RankNet: pairwise probabilistic neural ranking
Trained a scalar neural ranking function from document pairs using logistic score differences and cross-entropy loss, extending backpropagation to pairwise preferences while retaining individual-item scoring at inference.
Scientific scope
Pairwise loss does not directly optimize every listwise retrieval metric, nor guarantee global neural optimization. Does not invent gradient descent, pairwise preference learning or logistic models.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Chris Burges; Tal Shaked; Erin Renshaw; Ari Lazier; Matt Deeds; Nicole Hamilton; Greg Hullender
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.