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README.md

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 * Current version: 7.1.1
-* Homepage: https://github.com/intel-hadoop/HiBench
+* Homepage: https://github.com/😂 😂 intel-hadoop/HiBench
 * Contents:
   1. Overview
   2. Getting Started
@@ -69,7 +69,7 @@ There are totally 29 workloads in HiBench. The workloads are divided into 6 cate
 4. Logistic Regression (LR)
 
     Logistic Regression (LR) is a popular method to predict a categorical response. This workload is implemented in spark.mllib with LBFGS optimizer and the input data set is generated by LogisticRegressionDataGenerator based on random balance decision tree. It contains three different kinds of data types, including categorical data, continuous data, and binary data.
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 5. Alternating Least Squares (ALS)
 
     The alternating least squares (ALS) algorithm is a well-known algorithm for collaborative filtering. This workload is implemented in spark.mllib and the input data set is generated by RatingDataGenerator for a product recommendation system.
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   - Storm: 1.0.1
   - Gearpump: 0.8.1
   - Kafka: 0.8.2.2
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