Examine how TELUS Digital evaluated high-quality data and merchant ratings to enhance the customer experience.
A recommender system uses machine learning to predict the likelihood that a user will prefer a particular item or service. Learn how these systems facilitate great experiences that keep customers coming back for more.
Learn how TELUS Digital classified over 200,000 search queries for a leading online travel company.
More and more brands are using machine learning and computer vision in their advertising. Discover the risks and benefits.
Explore how TELUS Digital reviews over one million ads per month for one of the world’s biggest social networking platforms.
How do machine learning based search engines and recommendation systems work? Learn why both are important for the modern online shopping experience.
A search engine should have both high precision and high recall. When you search for a product on an online store, you should expect the top five or 10 results to match what you’re looking for. Read on for the basics of search relevance.
Your search engine is often the first interaction a user has with your company. There are many factors that go into making that search engine find and rank results from thousands or even millions of pages in a matter of seconds. Discover ten must-know search engine terms and components.
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
Are you getting lots of site visitors, but not a lot of sales? Search relevance and improving the strength of your search engine may be the answer.
Entering international markets can be a difficult task. Learn how ad evaluation can help you maximize conversion and make the most out of your ads.
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