##Taobao recommender
###Folder
\cf: for collaborative filtering\lsh: for locality-sensitive hashing\termsSimilarity: for calculating terms similarity after lsh\result: final result + result intergration source code
###Java-LSH lib
In order to execute the mapper reducer in \lsh, a java lib may be needed, which you can find in this release page of java-LSH.
###Dataset Since dataset is too big size, therefore, the dataset is put in oneDrive
Note:
- dim_fashion_matchsets_new.txt: existing collocation
- dim_items(new).txt: entire item list
- test_items_new.txt: test data
- user_bought_history.txt: user purchase history lost
###Result There are some intermediate result (e.g. the result of lsh, terms similarity) which is not included inside due to size limitation, you may click the oneDrive link for the intermediate result