Enhancing Amazon’s A9 with Advanced Semantic Search Capabilities Make sure you read the articles “Demystifying Semantic Matching: How It Powers Amazon and Beyond”, “The Evolution

Key aspects of Multi – Objective Ranking: 1. Relevance in search rankings is complex and multi-dimensional, encompassing factors like topical similarity, popularity, personalization, and diversity.

Introduction Autocomplete, also known as query auto-completion (QAC), is an essential feature in e-commerce platforms and search engines, and Amazon is no exception. It provides

Researchers have developed a new technique to help computers automatically understand product photos from the likes of Amazon.com. This saves time from manually labelling product

The Problem Many online shopping sites allow customers to ask questions about products, which other customers then answer based on their experiences. This helps shoppers

How Amazon’s A9 Search Engine Stacks Up Against Google and Bing Search engines like Google, Bing, and Amazon’s A9 utilise the internet to provide relevant

Introduction Pricing consistency across different sizes of the same product is critical for customer experience and perception of value. However, maintaining rational price ladders (Pricing

The premium priced product conundrum. Shopping online is now the norm for many people. Without the ability to physically examine products, online shoppers rely heavily

Searching for new and relevant products online often leads to frustrating, irrelevant results. This “cold start” problem has persistently challenged e-commerce companies for years. However,

A study reveals how Amazon’s A9 search algorithm can be enhanced to better connect shoppers with relevant seasonal products. By optimizing listings for seasonal search