Welcome! to The Machine Learning Algorithm Developers Group.
Here is a place to interact with ML developers, researchers, and students. Topics on advanced ML algorithms, data mining, information retrieval, sentiment/opinion mining, pattern recognition, genetic algorithms, building Scalable web architectures, image processing, predictive analytics, search engines, NLP ( natural language processing), speech and handwriting recognition etc can be discussed. We welcome all researchers from product company R&D divisions, product engineers and Ph.D.’s in Computer Science.
We welcome Computer Science Professors from reputed Universities like IIsc, IIT, IIIT, and NIT’s also from other reputed colleges to share your knowledge.
Mahout’s item based recommender is a flexible and easily implemented algorithm with a diverse range of applications. The minimalism of the primary input file’s structure and availability of ancillary filtering controls can make sourcing required data and shaping a desired output both efficient and straightforward.
Typical use cases include:
Recommend products to customers via an eCommerce platform (think: Amazon, Netflix, Overstock)
Identify organic sales opportunities
Segment users/customers based on similar item preferences