I have a project to do a recommendation system in regression approach , and the data is according to the config_weight .
I have 4 data sets , one is
brand_analysis (brand one , brand 2 , and the association score between the customer buying brand_ond , will continue to buy brand 2)
customer_config_analysis ( the customer_id , config_id , action_group, weight , time)
popularity ( the config_id , number of products sold ,number of products visit, GMII)
attributes ( the config_id , product_id , brand , product_category , price ,ML ,intergridients , skin_type , effects)
the way I should do the recommender system is to recommend each user 8 top products according to their shopping behavior .
6 freelancers are bidding on average €17/hour for this job
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