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=1.1, b=0.0

Prefer popular documents, 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

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


/!\ Edit conflict - other version:


Anup

0.60

0.50

0.18

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


/!\ Edit conflict - your version:


Anup

0.60

0.50

0.18

k=0.6, b=0.0

just parameters (k and b) manipulation


/!\ End of edit conflict


AD Teaching Wiki: InformationRetrievalWS1516/ResultsRanking (last edited 2015-11-02 19:11:49 by p54AEE50D)