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9 search results found
Recommendationsystem
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190
Book recommender system using collaborative filtering based on Spark
Spark
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119
GitHub Stars Sparklines ⚡️
Streaming Matrix Factorization
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100
Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems
Spark_als
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68
基于spark-ml,spark-mllib,spark-streaming的推荐算法实现
Recommendmoteur
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57
电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
Movie Recommender Demo
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50
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
Php Statsd
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30
simple statsd library and CI spark
Movies Analytics In Spark And Scala
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24
Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
Spark After Dark
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24
Click Through Rate Prediction
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21
Kaggle's click through rate prediction with Spark Pipeline API
Insight Gdelt Feed
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19
A way for home buyers to know about factors affecting a state
Big Data Recommender Systems
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17
Télécom Paris | MS Big Data | SD 701 | Big Data Mining Course Project using Spark and Google Colab for building Scalable Recommender Systems
Datascienceprojects
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17
Sample data science projects (machine learning, optimization, business intelligence)
Sparkatscale
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12
SparkAtScale
Recommendation Based On Sparkmllib
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10
❇️ 基于SparkMLLib实现的商品推荐功能,包括:基于用户的协同过滤,基于物品的协同过滤,基于ALS
Recommender System
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7
Movie Recommender System using Apache Spark Java ML libraries
Spark_linear_regression
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7
Spark (pyspark) linear regression on clickthrough rate (CTR) prediction form Kaggle
Movie_recommender_system_scala
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6
Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala
Dsgd Mf
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6
A distributed SGD algorithm for Matrix Factorization using PySpark
Movie Rating And Prediction Model
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5
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
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