我试图为推荐系统发挥作用。以下是我的代码
def recommend(movie_title, min_count):
print("for movie({})".format(movie_title))
print("Top 10 movies recommended are")
i=(df["title"]== movie_title[0])
target=final_movie_table[i]
similar_target=final_movie_table.corrwith(target)
corr_target=pd.DataFrame(similar_target, columns = ['Correlation'])
corr_target.dropna(inplace = True)
corr_target = corr_target.sort_values('Correlation', ascending = False)
corr_target.index = corr_target.index.map(int)
corr_target=corr_target.join(mean)[["Correlation", "title", "rating", "rating count"]]
print(corr_target[corr_target["rating count"]> min_count][:10].to_string(index=False))
以下是我的错误:
UserWarning: Boolean Series key will be reindexed to match DataFrame index.
"""
Empty DataFrame
Columns: [Correlation, title, rating, rating count]
Index: []
我该如何解决这个问题?