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LTR notebook: fix conclusion (#203)
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maxjakob authored Mar 13, 2024
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5 changes: 2 additions & 3 deletions notebooks/search/08-learning-to-rank.ipynb
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"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that the `title_bm25` and `popularity` features are weighted more importantly in our trained model. Now all results include the query terms in the title, outlining the importance of the `title_bm25` feature in the model. Similarly, more popular movies now rank higher, for example `Star Wars: Episode I - The Phantom Menace` is now in third position."
"As also shown in the feature importance graph above, we can see in this results list that the `title_bm25` and `popularity` features are weighted highly in our trained model. Now all results include the query terms in the title, showing the importance of the `title_bm25` feature. Similarly, more popular movies now rank higher, for example `Rogue One: A Star Wars Story` is now in sixth position."
]
}

}
],
"metadata": {
"colab": {
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