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DEEP-CLICK-MODEL is a small set of Python scripts for the implementation of different click models.

Models Implemented

  • RNN-MODEL
  • DEEP-UBM-ALL
  • DEEP-PSCM-ALL

Files

README.md

This file.

Requirements

  • Theano
  • Numba
  • TensorFlow
  • TFlearn
  • Numpy
  • Scipy

bin/

Directory with the scripts.

bin/K_TIME_DATA1/

Directory with the sample dataset.

Format of the Input Data

  • 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.

Usage

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 .

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