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#!comment: This allegedly waa a list of "the top 100,000 most frequently-used English words", see the repo I forked for more provenance.
#!comment: But it was very un-sanitized. I had a specific purpose in mind, and thought it might be somewhat more generally useful to have/share in the future, so here's how I sanitized the list:
#!comment: 0) put a number on each word (I should note that somehow it only included 98,913 to start with)
#!comment: 1) change all words to lower-case
#!comment: 2) blank out any words with characters other than a-z
#!comment: 3) remove any duplicates, keeping the lower (more frequent) number
#!comment: Now the list is 62916 words long, and still contains a lot of non-English words, but I think it is more useful.
#!comment: 
#!comment: Format: Rank (original rank) Word
1 (1) the

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def recalculate_user(user_ratings):
    '''adds new user and its liked items to sparse matrix and returns recalculated recommendations'''

    alpha = 40
    m = load_npz('sparse_user_item.npz')
    n_users, n_movies = m.shape

    ratings = [alpha for i in range(len(user_ratings))]

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SPARC Framework Prompt Template

Introduction

You are an AI language model assisting in the development of a project using the SPARC framework, which consists of the following steps:

1. Specification
2. Pseudocode
3. Architecture
4. Refinement