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| 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''' ||'''MP@3''' ||'''MP@R'''||'''MAP'''||'''BM25 Parameters'''||'''Refinements'''|| || ck1028 || 0.53 ||0.41 ||0.40 ||k=1.75, b=0.1 ||None (baseline) || |
Click "Edit (Text)" in the upper bar of this page and 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 account name, or name1+name2 if you work in a group. ||'''Name''' ||'''MP@3''' ||'''MP@R''' ||'''MAP''' ||'''BM25 Parameters''' ||'''Refinements''' || ||ck1028 ||0.60 ||0.45 ||0.45 ||b=0.1, k=0.75 ||None (baseline) || ||ma269 ||0.70 ||0.64 ||0.62 ||b=0.3, k=1.0 ||Stopword removal, using popularity || ||fj47 ||0.63 ||0.44 ||0.45 ||b=0.34 k=1.35 ||Using Popularity, removed stopword from queue and index, use amount of token in document. || ||pg152 ||0.63 ||0.25 ||0.24 ||b=0.11 k=0.77 ||None || ||ht48 ||0.53 ||0.21 ||0.43 ||b=0.15 k=1.2 ||Using popularity || ||hs211+lb319 ||0.47 ||0.25 ||0.30 ||b=0.75 k=1.75 ||Using titleBonus and popularityBonus || ||he41 ||0.5 ||0.46 ||0.41 ||b=0.2 k=1.2 ||Stopwords removal. Sorting by Popularity above threshold || ||cs568 ||0.6 ||0.403 ||0.428 ||b=0.02, k=0.7 ||None || ||mk813 ||0.6 ||0.476 ||0.48 ||b=0.15, k=0.5 ||popularity bonus, remove "movies" & synonyms, phrase match bonus || ||yb36 ||0.53 ||0.39 ||0.40 ||b=0.1, k=2.0 ||None || ||bb245 ||0.50 ||0.42 ||0.41 ||b=0.10, k=1.50 ||Stopword removal & using popularity || ||ph193 ||0.53 ||0.41 ||0.44 ||b=0.12 k=1.1 ||none || ||fb234 ||0.53 ||0.40 ||0.40 ||b=0.1, k=1.8 ||None || ||yl100 ||0.63 ||0.41 ||0.41 ||b=0.05, k=0.75 ||popularity bonus, match-more-keyword bonus || ||fe73 ||0.6 ||0.46 ||0.44 ||b=0.25, k=1 ||popularity bonus, stopword removal, bonus for each matched query word || ||ls305 ||0.53 ||0.39 ||0.39 ||b=0.1, k=2.0 ||None || ||ns202 ||0.53 ||0.23 ||0.21 ||b=0.1, k=1.9 ||None || ||ak721 ||0.57 ||0.43 ||0.42 ||b=0.1, k=2.0 || bias + log based popularity bonus || |
Results for Exercise Sheet 2 (Ranking)
Click "Edit (Text)" in the upper bar of this page and 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 account name, or name1+name2 if you work in a group.
Name |
MP@3 |
MP@R |
MAP |
BM25 Parameters |
Refinements |
ck1028 |
0.60 |
0.45 |
0.45 |
b=0.1, k=0.75 |
None (baseline) |
ma269 |
0.70 |
0.64 |
0.62 |
b=0.3, k=1.0 |
Stopword removal, using popularity |
fj47 |
0.63 |
0.44 |
0.45 |
b=0.34 k=1.35 |
Using Popularity, removed stopword from queue and index, use amount of token in document. |
pg152 |
0.63 |
0.25 |
0.24 |
b=0.11 k=0.77 |
None |
ht48 |
0.53 |
0.21 |
0.43 |
b=0.15 k=1.2 |
Using popularity |
hs211+lb319 |
0.47 |
0.25 |
0.30 |
b=0.75 k=1.75 |
Using titleBonus and popularityBonus |
he41 |
0.5 |
0.46 |
0.41 |
b=0.2 k=1.2 |
Stopwords removal. Sorting by Popularity above threshold |
cs568 |
0.6 |
0.403 |
0.428 |
b=0.02, k=0.7 |
None |
mk813 |
0.6 |
0.476 |
0.48 |
b=0.15, k=0.5 |
popularity bonus, remove "movies" & synonyms, phrase match bonus |
yb36 |
0.53 |
0.39 |
0.40 |
b=0.1, k=2.0 |
None |
bb245 |
0.50 |
0.42 |
0.41 |
b=0.10, k=1.50 |
Stopword removal & using popularity |
ph193 |
0.53 |
0.41 |
0.44 |
b=0.12 k=1.1 |
none |
fb234 |
0.53 |
0.40 |
0.40 |
b=0.1, k=1.8 |
None |
yl100 |
0.63 |
0.41 |
0.41 |
b=0.05, k=0.75 |
popularity bonus, match-more-keyword bonus |
fe73 |
0.6 |
0.46 |
0.44 |
b=0.25, k=1 |
popularity bonus, stopword removal, bonus for each matched query word |
ls305 |
0.53 |
0.39 |
0.39 |
b=0.1, k=2.0 |
None |
ns202 |
0.53 |
0.23 |
0.21 |
b=0.1, k=1.9 |
None |
ak721 |
0.57 |
0.43 |
0.42 |
b=0.1, k=2.0 |
bias + log based popularity bonus |