TUM-IDP-WS-20 / doc

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Recommend paper from 2 different model #28

Open MelikeSila opened 3 years ago

MelikeSila commented 3 years ago

Expand the recommendation from 1 to 2. Currently, the simple-recommender recommends the paper from a specified model. Expand the recommendation and give more paper to the user via the use of different models. - [ ] simple-recommender

  • [ ] Separate the page to show 2 different result
  • [ ] Add a rating bar to the new recommendation
  • [ ] Keep the following data to analyze the result and improve the model
    • User Input
    • Currently used method ( e.g in the order lemmatization, remove stop words, LDA, etc.)
    • User rating taken from rating bar
    • Output

      - [ ] nlp-example

  • [ ] Detect what do we need to apply in the nlp-example and update the task