Topic: item-collaborative-filtering Goto Github
Some thing interesting about item-collaborative-filtering
Some thing interesting about item-collaborative-filtering
item-collaborative-filtering,基于ItemCF与Springboot的图书商城系统
User: andrew-cheung-bot
item-collaborative-filtering,基于ItemCF与Springboot的图书商城系统-前端页面
User: andrew-cheung-bot
item-collaborative-filtering,
User: ankita-das
item-collaborative-filtering,Analysis of massive data sets
User: ardee123
item-collaborative-filtering,Recommendation systems
User: arjavanb
item-collaborative-filtering,Recommender System 2019 Challenge PoliMi
User: francescoperessini
Home Page: https://www.kaggle.com/c/recommender-system-2019-challenge-polimi/
item-collaborative-filtering,IBCF recommender system with Shiny application
User: gennady-khvorykh
Home Page: https://followbigdata.shinyapps.io/IBCF_recommender/
item-collaborative-filtering,Recommender system based on Item Collaborative Filtering and MapReduce
User: jieren123
item-collaborative-filtering,A movie recommender system with MapReduce.
User: jshangguan
item-collaborative-filtering,
User: kumaava
item-collaborative-filtering,The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
User: lodz97
item-collaborative-filtering,A platform where user is suggested items to buy based on previous transaction history and current cart. Implemented item to item collaborative filtering using Apriori algorithm. Improved upon the algorithm which provided pairwise affinity only, to allow computation of items similar to a given set of items. Technologies used – Python libraries, R, Django
User: madhur13
item-collaborative-filtering,This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
User: maz2198
item-collaborative-filtering,A recommendation system for Restaurants!
User: mohammedjasam
item-collaborative-filtering,Code repo of solution of 11th place in Recsys Challenge 2022
User: pm390
item-collaborative-filtering,a movie recommender system that can predict movies or videos that users may be interested in
User: raymondzheranlei-github
item-collaborative-filtering,Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
User: samuelemeta
item-collaborative-filtering,Fast item-to-item recommendations on the command line.
User: sscdotopen
item-collaborative-filtering,Machine Learning Algorithms
User: sumeetsuman83
item-collaborative-filtering,
User: surbhijainusc
item-collaborative-filtering,A system that assists students in selecting their courses in a smarter way
Organization: university-information-system
item-collaborative-filtering,Project for CS267 Topics in Database Systems
User: unnathi10
item-collaborative-filtering,Project on recommender systems within the data mining course in my master's program.
User: wasencroll
Home Page: https://www.alexandercroll.com/site/portfolio/beer-recommender
item-collaborative-filtering,Big Data Intern Recommendation System @ VIPS Zhimin Feng
User: workindead
item-collaborative-filtering,Launched a distributed application using Spark and MLlib ALS recommendation engine to analyze a complex dataset of 10 million movie ratings from MovieLens.
User: youhusky
Home Page: https://github.com/youhusky/Movie_Recommendation_System
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