Inverted index compression and query processing with optimized document ordering
By Hao Yan, Shuai Ding, Torsten Suel. The Web Conference, 2009
298 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/eeaea98ab94d2100a0a20eb952692c3b1d03ccc3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ji-rong Wen
- Wayne Xin Zhao
- Jian-Yun Nie
- Gao Cong
- Daniel Lemire
- Christian S. Jensen
- Dingming Wu
- Hongfei Yan
In Computer Networks and Communications
- Gao Cong
- Christian S. Jensen
- Daniel Lemire
- Ji-rong Wen
- Dingming Wu
- Wayne Xin Zhao
- Leonid Boytsov
- Jimmy J. Lin
In Signal Processing
- Gao Cong
- Christian S. Jensen
- Jian-Yun Nie
- Daniel Lemire
- Ji-rong Wen
- Dingming Wu
- Lisi Chen
- Wayne Xin Zhao
Citations in the corpus
- A General SIMD-Based Approach to Accelerating Compression Algorithms (2015, background): “Yan et al. [Yan et al. 2009] proposed two new variants called NewPFD and OptPFD.”
- Spatial Keyword Query Processing: An Experimental Evaluation (2013, methodology): “The SFC-QUAD index is essential an inverted file in which the docIDs and frequencies of objects are compressed using the OPT-PFD algorithm [23].”
- Decoding billions of integers per second through vectorization (2012, methodology): “compulsory bit width exceptions compressed exceptions PFOR [23] yes per page per page no PFOR2008 [26] yes per page per page 8, 16, 32 bits NewPFD/OptPFD [10] no per block per block Simple-16 FastPFOR (§ 5) no per block per page binary packing SIMD-FastPFOR (§ 5) no per block per page vectorized bin”