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Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the us…

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Paper title:

Opinion Recommendation Using Coverage for Adaptive Prediction

Link:

https://ieeexplore.ieee.org/document/9596474

File structure:

----- Research_main -----

folder contains the source code of opinion recommendation task.

---- Worksheet -----

folder contains previous approaches (deprecated).

---- resources -----

folder contains train, development, test sets.

---- cite -----

If you find this code useful in your research, please consider citing:

@inproceedings{gionanidisOpiRec2021,
  title={Opinion Recommendation Using Coverage for Adaptive Prediction},
  author={Gionanidis E., Kotropoulos C., Ntemi M.},
  booktitle={IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)},
  pages={1--6},
  year={2021},
}

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Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the us…

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