Skip to content

Latest commit

 

History

History
106 lines (84 loc) · 4.94 KB

README.md

File metadata and controls

106 lines (84 loc) · 4.94 KB

专门针对中文文档的simhash算法库

Test Platform Author License Tag

简介

此项目用来对中文文档计算出对应的 simhash 值。 simhash 是谷歌用来进行文本去重的算法,现在广泛应用在文本处理中。

详见simhash算法原理及实现

特性

  • 使用 CppJieba 作为分词器和关键词抽取器
  • 使用 jenkins 作为 hash 函数
  • hpp 风格,所有源码都是 .hpp 文件里面,方便使用。 没有链接,就没有伤害。
  • 本项目的副产品项目:simhash_server 提供了简单的 simhash HTTP 服务。

依赖

  • g++ (version >= 4.1 recommended), or clang++ .

用法

git clone --recurse-submodules https://github.com/yanyiwu/simhash.git
cd simhash
mkdir build
cd build
cmake ..
make

测试

make test

演示

文本:"我是蓝翔技工拖拉机学院手扶拖拉机专业的。不用多久,我就会升职加薪,当上总经理,出任CEO,走上人生巅峰。"
关键词序列是: ["蓝翔:11.7392", "CEO:11.7392", "升职:10.8562", "加薪:10.6426", "手扶拖拉机:10.0089"]
simhash值是: 17831459094038722629
100010110110和110001110011 simhash值的相等判断如下:
海明距离阈值默认设置为3,则isEqual结果为:0
海明距离阈值默认设置为5,则isEqual结果为:1

详情请看 demo

Benchmark

./benchmark/benchmarking

结果如下:

Running ./benchmark/benchmarking
Run on (16 X 2494.14 MHz CPU s)
CPU Caches:
  L1 Data 32 KiB (x16)
  L1 Instruction 32 KiB (x16)
  L2 Unified 4096 KiB (x16)
  L3 Unified 36608 KiB (x1)
Load Average: 0.07, 0.04, 0.03
***WARNING*** Library was built as DEBUG. Timings may be affected.
-------------------------------------------------------------------------------------------------
Benchmark                                                       Time             CPU   Iterations
-------------------------------------------------------------------------------------------------
BENCHMARK_Simhasher_extract_text50_top5                     13478 ns        13478 ns        52013
BENCHMARK_Simhasher_extract_text50_top10                    13843 ns        13843 ns        50833
BENCHMARK_Simhasher_extract_text50_top15                    13929 ns        13929 ns        49488
BENCHMARK_Simhasher_extract_text50_top20                    13842 ns        13842 ns        50541
BENCHMARK_Simhasher_extract_text500_top5                   184074 ns       184067 ns         3775
BENCHMARK_Simhasher_make_text50_top5                        14457 ns        14457 ns        48341
BENCHMARK_Simhasher_make_text50_top10                       15170 ns        15169 ns        46203
BENCHMARK_Simhasher_make_text50_top15                       15585 ns        15585 ns        44903
BENCHMARK_Simhasher_make_text50_top20                       15743 ns        15742 ns        44466
BENCHMARK_Simhasher_binaryStringToUint64                    0.000 ns        0.000 ns   1000000000
BENCHMARK_Simhasher_toBinaryString                           63.9 ns         63.9 ns     10937009
BENCHMARK_Simhasher_make_from_predefined_keywords5            423 ns          423 ns      1644823
BENCHMARK_Simhasher_make_from_predefined_keywords10           735 ns          735 ns       950156
BENCHMARK_Simhasher_make_from_predefined_keywords20          1364 ns         1364 ns       508935
BENCHMARK_Simhasher_make_from_predefined_keywords50          7876 ns         7875 ns        89006
BENCHMARK_Simhasher_make_from_predefined_keywords100        21409 ns        21409 ns        32743
BENCHMARK_Simhasher_make_from_predefined_keywords200        47469 ns        47468 ns        14728
BENCHMARK_Simhasher_make_from_predefined_keywords500       124316 ns       124314 ns         5627
BENCHMARK_Simhasher_make_from_predefined_keywords1000      251336 ns       251329 ns         2785
BENCHMARK_Simhasher_binaryStringToUint64_isEqual            0.000 ns        0.000 ns   1000000000
BENCHMARK_Simhasher_binaryStringToUint64_isEqual_10k        0.000 ns        0.000 ns   1000000000
BENCHMARK_Simhasher_binaryStringToUint64_isEqual_1000k      0.000 ns        0.000 ns   1000000000