Inverse Document Frequency-Weighted Word2Vec Model to Recommend Apparels
Priyanka Meel, Agniva Goswami · 2019
With the rapid growth of e-commerce markets the need for recommendation engine and efficient algorithms are becoming the need of the hour for business models of the companies to generate a huge amount of profit. This paper proposes a hybrid algorithm to benefit apparel retailing market which gives the benefits of both, semantics based search and frequency based search. Later this paper compares results of the proposed hybrid algorithm with the other known algorithms used to recommend products.