Inspiration
Similar to the potency of the youtube suggestion algorithm. Wanted to implement an algorithm which analyzed the contents of a poem to determine other similar poems.
What it does
Analyzes the content of a poem or movie then calculates the euclidean distance using the vector space then it find similar prior works in the same space using the k-cluster analyzes and recommends a similar piece.
How I built it
Using tensorflow,sckikit learn, keras, and pandas dataframe. Also a lot of research papers.
Challenges I ran into
Using appropriate parameters.
Accomplishments that I'm proud of
Pretty good predictions for movies.
What I learned
It is hard to do the math behind algorithms.
What's next for Poem Recommender
Optimized search spaces.
Built With
- ipython
- keras
- python
- tensorflow
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