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All Blog Posts Tagged 'similarity' (4)

The Journey to Optimizing Billion-scale Image Search



Yupoo Picture Manager serves tens of millions of users and manages tens of billions of pictures. As its user gallery is growing larger, Yupoo has an urgent business need for a solution that can quickly locate the image. In other words, when a user inputs an image, the system should find its original…

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Added by Kate Shao on August 12, 2020 at 11:00pm — No Comments

Building a Deep-Learning-Based Movie Recommender System

With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a lot of time to find the goods they want to buy. This is information overload. To solve this problem, the recommendation system came into being.

The recommendation system is a…

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Added by Kate Shao on July 5, 2020 at 11:30pm — No Comments

New Similarity Methods for Unsupervised Machine Learning

1. Introduction

Data science is changing the rules of the game for decision making. Artificial intelligence is living its golden years where abundance of data, cheap computing capacity, and devoted talent depicts an unstoppable intelligence assisted life for humans. While it is common to hear about AI advice on health or financial investments, the same in business strategy is not so common. Maybe it is just a matter of time that AI learns how to handle data to support…

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Added by Ramon Serrallonga on January 9, 2019 at 9:00am — 3 Comments

Measuring Similarity between Objects

The ability to recognize objects and their relationships is at the core of intelligent behavior. This, in turn, depend on one’s ability of perceiving similarity or dissimilarity between objects, be physical or abstract ones. Hence, if we are interested to make computers behave with any degree of intelligence, we have to write programs that can work with relevant representation of objects and means to compute their similarities or lack thereof, i.e., dissimilarity (obviously, they are…

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Added by Arijit Laha on October 12, 2016 at 11:00pm — 1 Comment

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