LambdaMerge: merging the results of query reformulations

By D. Sheldon, Milad Shokouhi, Martin Szummer, Nick Craswell. 2011

68 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Jun Xu
2. Hang Li
3. Lihong Li
4. Jianfeng Gao
5. Tie-Yan Liu
6. Jiafeng Guo
7. Chunhua Shen
8. Devi Parikh

In Information Systems

1. Jun Xu
2. Hang Li
3. Ankur Gupta
4. Shunbao Chen
5. Jim Kleban
6. Lihong Li
7. Olivier Chapelle
8. Tie-Yan Liu

Citations in the corpus

• Counterfactual Estimation and Optimization of Click Metrics for Search Engines (2014, background): “The idea to select multiple such candidates is to mitigate the risk of picking a bad correction early in the lifetime of the query [28].”
• Counterfactual Estimation and Optimization of Click Metrics in Search Engines: A Case Study (2015, background): “The idea to select multiple such candidates is to mitigate the risk of picking a bad correction early in the life-time of the query [28].”
• Semantic Matching in Search (2014, methodology): “LambdaMerge is an algorithm designed for learning the matching and ranking models at the same time [160].”