Keyphrase extraction is the task of identifying single or multi-word expressions that represent the main topics of a document. There are 2 approaches to extract topics (and/or keyphrases) from a text: supervised and unsupervised. Supervised approach This is a multi-label, multi-class classification algorithm, where following features can be used as an input: text converted to bag-of-words text is treated as a stream of vectors, which are pre-trained word embeddings For bag-of-words linear SVM is a good classifier. Read more

Once novelty recommendation systems are used now by more and more e-commerce sites to help customers find products to purchase. For e-commerce business owners these tools facilitate cross-sales. Usage Amazon is one of the most prominent organizations that used recommendations to increase sales. According to fortune.com Amazon was able to increase sales by 29% in 2012 as a result of implementing recommendation system. 35% of Amazon’s revenue is generated by its recommendation engine (source). Read more