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15 lines
464 B
Python
15 lines
464 B
Python
import nlp
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import random
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# get user preference from database (i.e. how many times they clicked on some certain type of article)
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# prob = [1/nlp.NUM_TOPICS for i in range(nlp.NUM_TOPICS)]
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# manipulate prob based on user preference
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def get_topics(weights, num_reccomendations):
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"""
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Takes in weights as list/tuple, ex: (0.1, 0.2, 0.3)
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Returns a list of topics
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"""
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return random.choices([*range(nlp.NUM_TOPICS)], weights, k=num_reccomendations)
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