Browse > Article

웹 검색 응답속도 향상을 위한 기계학습의 활용  

Jeon, Myeong-Jae (Microsoft Research)
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Dean and L. A. Barroso. The tail at scale. Commun. ACM, 56(2):74-80, Feb. 2013.   DOI
2 V. Jalaparti, P. Bodik, S. Kandula, I. Menache, M. Rybalkin, and C. Yan. Speeding up distributed request-response workflows. In SIGCOMM, 2013.
3 M. Jeon, Y. He, S. Elnikety, A L. Cox, and S. Rixner. Adaptive parallelism for web search. In EuroSys, 2013.
4 M. Jeon, Y. He, H. Kim, S. Elnikety, S. Rixner, A. L. Cox. TPC: Target-Driven Parallelism Combining Prediction and Correction to Reduce Tail Latency in Interactive Services. In ASPLOS, 2016.
5 J. Dean. Challenges in building large-scale information retrieval systems: invited talk. In WSDM, 2009.
6 L. A Barroso, J. Dean, and U. Holzle. Web search for a planet: The google cluster architecture. IEEE Micro, 23(2):22-28, Mar. 2003.   DOI
7 S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW, 1998.
8 M. Persin, J. Zobel, and R. Sacks-Davis. Filtered document retrieval with frequency-sorted indexes. J. Am. Soc. Inf. Sci., 47(10):749-764, Sept. 1996.   DOI
9 F. Zhang, S. Shi, H. Yan, and J.-R. Wen. Revisiting globally sorted indexes for efficient document retrieval. In WSDM, 2010.
10 C. Macdonald, N. Tonellotto, and I. Ounis. Learning to predict response times for online query scheduling. In SIGIR, 2012.
11 M. Jeon, S. Kim, S.-W. Hwang, Y. He, S. Elnikety, A. L. Cox, and S. Rixner. Predictive parallelization: Taming tail latencies in web search. In SIGIR, 2014.