I need help for recommendation system


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 .

Skills: Python

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About the Employer:
( 0 reviews ) Berlin, Germany

Project ID: #25667931

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Hello!, How are you? I have read your post very carefully and understood you requirement. I am sure I can handle your project perfectly in the quick timeline. I have great skill and experience in this field. ** Python More

€18 EUR / hour
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