AD Teaching Wiki:

Results for Exercise Sheet 2 (Ranking)

Add your row to the table below, following the examples already there. Please write down all values with exactly two digits of precision. In the first column, write your first name, or name1+name2 if you work in a group.

Name

P@3

P@R

MAP

BM25 Parameters

Refinements

Baseline

0.57

0.38

0.37

k=1.75, b=0.0

None (baseline)

Robin

0.57

0.41

0.35

k=1.25, b=0.75

prefer exact matches and popular documents

Marco

0.60

0.42

0.39

k=0.75, b=0.25

prefer popular documents (in a very primitive way)

Julian

0.60

0.43

0.40

k=0.75, b=0.0

prefer popular documents

Michael+Max

0.60

0.46

0.39

k=1.42, b=0.21

prefer "exact" matches and popular documents

Lord Voldemort

0.63

0.44

0.40

k=1.25, b=0.0

Dark Magic

T-Izzle

0.57

0.37

0.40

k=0.75, b=0.0

Boost "all word hits" and hits in Title

Frank

0.57

0.47

0.39

k=1.75, b=0.5

Prefer popular documents

Zhang

0.63

0.43

0.46

k=1.2, b=0.0

Prefer exact matches and documents with low tf words

Hardware Hans-Peter

0.57

0.39

0.38

k=1.5, b=0.0

Prefer popular documents

Lötkolben Ludwig

0.63

0.42

0.38

k=1.0, b=0.2

Boosted popular documents

MS-DOS Manfred

0.60

0.40

0.38

k=1.5, b=0.2

Used MS-DOS for development

Natalie

0.67

0.46

0.41

k=0.8, b=0.4

prefer popular documents and exact matches

Janosch

0.53

0.41

0.37

k=0.75, b=0.25

*dust*

Thomas+Frank

0.57

0.42

0.38

k=1.5, b=0.25

prefer popular documents

Lukas

0.63

0.44

0.39

k=1.5, b=0.4

prefer popular documents and boost multiple hit query words

Anup

0.60

0.42

0.39

k=0.6, b=0.0

just parameters (k and b) manipulation

Alex

0.60

0.42

0.41

k=1.75, b=0.25

prefere popular documents and reward the occurence of all query-words

Dou Nut

0.40

0.02

0.03

k=1.00, b=0.65

Special ranking mechanism implemented

IE

0.43

0.23

0.23

k=1.5, b=0.7

An attempt wars worth (thanks google translate!) prefer popular docs

Raghu

0.37

0.23

0.20

k=1.75, b=0.75

Tried multiplicative merging

Sven

0.43

0.34

0.29

k=0.75, b=0.25

prefer some of the popular documents

BIOS Bernard

0.58

0.43

0.40

k=1.2, b=0.0

prefer popular movies

Evgeny+Numair

0.57

0.44

0.40

k=0.75, b=0.0

prefer popular documents

Jan

0.24

0.11

0.10

k=1.2, b=0.75

baseline

Kecen

0.57

0.34

0.35

k=1.25, b=0.2

prefer popular records, added weight for keys occur in title

Elias+Maximilian

0.5

0.31

0.3

k=1.4, b=0.04

prefer popular records, boost if multiple search terms hit

Matthias

0.5

0.07

0.34

k=1.23, b=0.53

best neighbour optimizer + (far to small) training-set + popularity ranking

Daniel

0.3

0.14

0.13

k=1.75, b=0.4

Only parameter adjustment

David

0.6

0.38

0.37

k=1.75, b=0.0

More point for containing all words

Fabio

0.48

0.41

0.35

k=0.8, b=0.4

best parameters to queries that i used

Patrick

0.6

0.39

0.39

k=1.75, b=0.0

prefer popular documents, boost multiple keyword hits

AD Teaching Wiki: InformationRetrievalWS1516/ResultsRanking (last edited 2015-11-03 15:25:00 by 10)