Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
exposure bias in seq2seq | 1.91 | 0.9 | 7363 | 24 | 24 |
exposure | 0.1 | 0.5 | 4278 | 13 | 8 |
bias | 1.09 | 0.5 | 5508 | 73 | 4 |
in | 0.77 | 0.3 | 6404 | 4 | 2 |
seq2seq | 0.49 | 0.3 | 1683 | 76 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
se-bias | 1.89 | 0.5 | 982 | 72 |
seq2seq for object detection | 1.14 | 0.6 | 5616 | 79 |
serbia | 0.43 | 1 | 15 | 69 |
sebastian | 1.57 | 0.8 | 1062 | 82 |
se-based test data generation | 1.93 | 0.2 | 3609 | 88 |
sebastian kot | 1.91 | 0.8 | 967 | 89 |
se-bus | 0.5 | 0.8 | 1897 | 73 |
se bike | 0.8 | 0.5 | 2228 | 56 |
se-bi 21 bauwelt gmbh | 0.39 | 0.9 | 3815 | 100 |
se-bilstm | 0.2 | 0.2 | 1052 | 83 |
se-banken | 0.37 | 0.6 | 5506 | 79 |
se-baustoffhandel gmbh | 0.04 | 0.1 | 4886 | 28 |
detect-seq | 1.62 | 0.1 | 8909 | 45 |
seq-nms for video object detection | 1.57 | 0.3 | 3781 | 24 |
sequence image object detection | 0.56 | 0.4 | 7466 | 29 |
seq2seq_model | 0.15 | 1 | 5774 | 25 |
seq_operations | 1.77 | 1 | 8722 | 39 |
seq2seq model with attention | 0.89 | 1 | 3983 | 24 |
seq 2 seq model | 0.95 | 0.4 | 6033 | 49 |
model_seq2seq | 1.81 | 0.2 | 8045 | 64 |
seq.data | 0.77 | 0.8 | 4079 | 50 |
is_seq_of | 1.87 | 0.2 | 9187 | 60 |