DEEP-CLICK-MODEL is a small set of Python scripts for the implementation of different click models.
- RNN-MODEL
- DEEP-UBM-ALL
- DEEP-PSCM-ALL
This file.
- Theano
- Numba
- TensorFlow
- TFlearn
- Numpy
- Scipy
Directory with the scripts.
Directory with the sample dataset.
- train.qids.npy: each line is a query session with the query id and the results' id.
- train.questions.npy: each line is a query session with the query word list.
- train.answers.npy: each line is a query session with the results' title word list.
- train.additions.npy: each line is a query session with the prediction from UBM and PSCM model.
- emb_vectors.skip.1124.4m.10w.npy: each line is the word embedding vector for this word index.
in bin/ : for RNN-MODEL, run python click_model_AAAI14.py; for DEEP-UBM-ALL and DEEP-PSCM-ALL, run python click_model_DEEP.py .