#acl All:read,write = Results for Exercise Sheet 5 (q-Gram Index) = Add your row to the table below, following the examples already there. ''Time B'' is the time for the baseline. ''Time Q'' is the time using the q-gram index. ''#PEDs Q'' is the number of PED computations done with the q-gram based algorithm. In the first column, write your first name, or name1+name2 if you work in a group. '''Note''': The original dataset had encoding issues. Please measure your times using the corrected [[http://ad-teaching.informatik.uni-freiburg.de/InformationRetrievalWS1516/movie-titles-ascii.txt|dataset]] we uploaded {{{ #!html (Sunday, November 22nd, 17:35h). }}} || '''Name''' |||||| '''Query: The H''' |||||| '''Query: Terinator''' |||||| '''Query: Figct Cl''' ||'''Processor / RAM''' ||||'''Language''' || ||<:> '''Time B''' || '''Time Q''' ||<:> '''#PEDs Q''' ||<:> '''Time B''' ||<:> '''Time Q''' ||<:> '''#PEDs Q''' ||<:> '''Time B''' ||<:> '''Time Q''' ||<:> '''#PEDs Q''' || ||Elmar ||<:> 3,912ms ||<:> 1,218ms ||<:> 48,521 ||<:> 12,254ms ||<:> 107ms ||<:> 1,206 ||<:> 8,060ms ||<:> 3ms ||<:> 5 || Intel i5-2520M @ 2.50GHz / 8GB || Python || ||Matia ||<:> 3,239ms ||<:> 1,261ms ||<:> 48,521 ||<:> 11,217ms ||<:> 265ms ||<:> 1,206 ||<:> 7,343ms ||<:> 17ms ||<:> 5 || Intel i5 @ 2.60GHz / 8GB || Python || ||Marco ||<:> 265ms ||<:> 57ms ||<:> 31,466 ||<:> 501ms ||<:> 81ms ||<:> 31,518 ||<:> 264ms ||<:> 15ms ||<:> 5301 || Intel i5 @ 2.60GHz / 8GB || Java || ||Raghu ||<:> 45,120ms ||<:> 14,155ms ||<:> 48,521 ||<:> 154,070ms ||<:> 2,558ms ||<:> 1,206 ||<:> 101,053ms ||<:> 125ms ||<:> 5 || AMD A6 @ 1.80 GHz / 4GB || Python || ||Jay ||<:> 4,168ms ||<:> 919ms ||<:> 34,797 ||<:> 13,249ms ||<:> 3,379ms ||<:> 41,125 ||<:> 8,816ms ||<:> 639ms ||<:> 11,783 || i7-4510U @ 2.00GHz / 8GB || Python || ||Evgeny + Numair||<:> 4,875ms ||<:> 1,834ms ||<:> 49,229 ||<:> 10,630ms ||<:> 271ms ||<:> 1,240 ||<:> 8,298ms ||<:> 19ms ||<:> 8 || Intel i5 @ 3.50 GHz - 16 GB RAM || Python || ||Frank ||<:> 2,879ms ||<:> 1,096ms ||<:> 48,521 ||<:> 10,862ms ||<:> 280ms ||<:> 1,206 ||<:> 6,781ms ||<:> 18ms ||<:> 5 || i5-4690 @ 3.50GHz / 8GB || Python || ||Elke ||<:> 5,816ms ||<:> 1,040ms ||<:> 48,521 ||<:> 11,752ms ||<:> 99ms ||<:> 1,206 ||<:> 9,662ms ||<:> 3ms ||<:> 5 || Intel i5 @ 2.20GHz / 8GB || Python || ||Elias + Max ||<:> 9,072ms ||<:> 3,320ms ||<:> 50,918 ||<:> 18,569ms ||<:> 408ms ||<:> 2,595 ||<:> 14,731ms ||<:> 111ms ||<:> 1,172 || Intel i7 @ 2.90GHz / 8GB || Python || ||/'fræŋk/ ||<:> 425ms ||<:> 222ms ||<:> 48,521 ||<:> 738ms ||<:> 53ms ||<:> 1,206 ||<:> 550ms ||<:> 14ms ||<:> 5 || Intel i7 @ 2.50GHz / 16GB || Python (pypy) || ||!HuiHui ||<:> 42,823ms ||<:> 15,120ms ||<:> 48,521 ||<:> 86,142ms ||<:> 5,068ms ||<:> 5,335 ||<:> 68,242ms ||<:> 2,381ms ||<:> 5,799 || Intel Core i5 @ 1.7 GHz - 8GB RAM || Python || ||Erik ||<:> 9,275ms ||<:> 3,653ms ||<:> 48,521 ||<:> 19,176ms ||<:> 448ms ||<:> 1,206 ||<:> 14,924ms ||<:> 5.7ms ||<:> 4 || Intel® Core™ i5-2520M CPU @ 2.50GHz / 4GB || Python || || Il ||<:> 17,908ms ||<:> 2,924ms ||<:> 48,521 ||<:> 33,701ms ||<:> 957ms ||<:> 1,206 ||<:> 27,116ms ||<:> 101ms ||<:> 5 || Intel Core i5-2435M CPU @ 2.40GHz / 8GB || Python || ||Daniel ||<:> 9,888ms ||<:> 3,644ms ||<:> 48,521 ||<:> 26,517ms ||<:> 504ms ||<:> 1,206 ||<:> 19,804ms ||<:> 64ms ||<:> 5 || Intel Pentium T4500 @ 2.3GHz / 4GB || Python || ||Sam ||<:> 8,273ms ||<:> 2,101ms ||<:> 50,875 ||<:> 18,099ms ||<:> 5,490ms ||<:> 52,763 ||<:> 15.414ms ||<:> 978ms ||<:> 11,757 || Intel Core i5-2520M CPU @ 2.50GHz / 8GB || Python || ||David ||<:> 4,396ms ||<:> 1,389ms ||<:> 48,521 ||<:> 13,319ms ||<:> 156ms ||<:> 1,206 ||<:> 9,072ms ||<:> 13ms ||<:> 5 || Intel Core i5 @ 2.2 GHz - 8GB RAM || Python || ||Zhiwei||<:> 831ms||<:> 289390ms||<:> 5||<:> 96900ms||<:> 335391ms||<:> 16||<:> 92023ms||<:> 21251ms||<:> 0||2.6 GHz Intel Core i7||C++||