Using Adjective Features from User Reviews to Generate Higher ...

As shown in Figure 11, our prompt consists of 15 movies along with the generated summary ranked from most liked movie to least liked movie, and ...







Right Inflight? A Dataset for Exploring the Automatic Prediction of ...
The total recommender system takes the movie ratings with user Twitter IDs and movies as IMDB IDs as input and gives an improved list of Top-k recommendations ...
Ranking via Robust Binary Classification
Notice that, these explanations are available all the time, but their ranking orders differ for different movie recommendations, and only those ranked top are ...
On Netflix catalog dynamics and caching performance - Dario Rossi
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