LEMP: Exact and Approximate Maximum Inner Product Search
LEMP is a tool for maximum inner product search, i.e., efficiently retrieving large entries in the product of two given large matrices. This problem arises in a number of data mining and information retrieval tasks. A detailed description of LEMP and its applications can be found in our SIGMOD 2015 paper and our TODS 2017 article.
Datasets
IE-NMF (Rank 10, 50, and 100)
IE-SVD
Netflix (factorization with and without averaging)
Glove
Source code
The source code is hosted on LEMP GitHub repository. The SIGMOD version is available here. The TODS version is available here.