There are three main parts to this system: the embedding layer, which preserves the CKG’s structure and parameterizes each node as a vector; the attentive embedding propagation layer, which updates a node’s representation by recursively propagating embeddings from its neighbors and uses a knowledge-aware attention mechanism to learn the weight of each neighbor during a propagation; and the prediction layer, which combines the representations of a user and an item from all propagation layers, and outputs the predicted score.

This blog is the case study of a competition held on Kaggle. The competition’s name is Natural Language Processing. Competition can be found here. Disasters can happen anywhere and sometimes it takes time for the agencies to know about the disaster. Nowadays as soon as something happens, people tweet about    

Trendyol Data Science Team from a Intern’s Perspective How my Journey Began Hi! My name’s Okan and I am currently doing an internship at Trendyol, a leading international e-commerce platform founded in Turkey.    

As someone who loves stories, I’ve always dreamt of publishing my own. One of the stories I created is about five naughty little bugs — a story my children love to hear (again… and again… and again). A week ago I came across DALL·E 2 which sparked my curiosity.