Algorithm in hadoop and spark (2 versions)
$30-250 USD
货到付款
Hi!
Looking for developer to help me with porting algorithm (details via email) to hadoop and to spark. More or less idea is to compute formula similar to Pearson correlation (formula in files as image).
Payment is open for discussion.
some clarification needed:
one csv file with structure of item_id, item_name, item_group
second one: user_id, item_id, rating
the algorithm:
for upfront stated user_id (user_0)
divides input from second file by item_group
for each group
calculates Pearson correlation between user_0 and rest of users (considering ratings only from this specific group)
produces top N most correlated users (N can be as const in the program)
from that top N list calculates averages for each item rating and returns top M items (M can be const as well)
output: topM items for each group
项目ID： #22190052
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