A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation

By Matt Crane, J. Shane Culpepper, Jimmy J. Lin, Joel M. Mackenzie, Andrew Trotman, David R. Cheriton. 2017

68 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Matt Crane
2. Joel M. Mackenzie
3. J. Shane Culpepper
4. C. Clarke
5. Roi Blanco
6. Jamie Callan
7. Jimmy J. Lin
8. Zhuyun Dai

In Management Science and Operations Research

1. Jimmy J. Lin
2. C. Clarke
3. J. Shane Culpepper
4. Joel M. Mackenzie
5. Matt Crane
6. Roi Blanco
7. Jamie Callan
8. Zhuyun Dai

In Signal Processing

1. Matt Crane
2. Joel M. Mackenzie
3. J. Shane Culpepper
4. Jimmy J. Lin
5. Jamie Callan
6. Roi Blanco
7. C. Clarke
8. Zhuyun Dai

Citations in the corpus

• Efficiency Implications of Term Weighting for Passage Retrieval (2020, background): “[22] and recent empirical comparisons [4, 16] for more details.”
• Query Driven Algorithm Selection in Early Stage Retrieval (2017, methodology): “However, assuming that the performance of Wand-based algorithms in the first stage is a function of k may not be correct in practice [14].”