Sequential models that encode user activity for next action prediction have become a popular design choice for building web-scale personalized recommendation systems. Traditional methods of sequential recommendation either utilize end-to-end learning on realtime user actions, or learn user representations separately in an offline batch-generated manner. This paper (1) presents Pinterest's ranking architecture for Homefeed, our personalized recommendation product and the largest engagement surface; (2) proposes TransAct, a sequential model that extracts users' short-term preferences from their realtime activities; (3) describes our hybrid approach to ranking, which combines end-to-end sequential modeling via TransAct with batch-generated user embeddings. The hybrid approach allows us to combine the advantages of responsiveness from learning directly on realtime user activity with the cost-effectiveness of batch user representations learned over a longer time period. We describe the results of ablation studies, the challenges we faced during productionization, and the outcome of an online A/B experiment, which validates the effectiveness of our hybrid ranking model. We further demonstrate the effectiveness of TransAct on other surfaces such as contextual recommendations and search. Our model has been deployed to production in Homefeed, Related Pins, Notifications, and Search at Pinterest.

Digital agencies today are brimming with ideas that can help brands integrate with voice-enabled technology. For Niraj Ruparel, National Head- Mobile, Mindshare India, conversational commerce using voice skill technology in India means serious business. In conversation with exchange4media, he delves into the nuances of voice technology, how brands can ensure that voice interaction for users is a seamless experience and what is working in the favour of Voice as the next big digital trend. The agency's tryst with voice began in January this year, explains Ruparel after global giants Google and Amazon recognised the potential for voice in India. "Voice is pretty big in Tier 2 markets, which is in terms of the penetration or how we reach out to audiences in the rural market. If you talk about the ecosystem per se, we're talking about close to 100 crore active sim cards in India and almost 450 million sim cards are resting on feature phones where the only mode of communication is Voice, so that plays a dominant role there. But now we see those 550 million SIMs which are sitting on 400 million smartphones, 30 per cent of those people have now started querying on Voice Assistants."

Artificial Intelligence (AI) is all around us, and has been for many years. I recall the juxtaposition of the Robotic Manufacturing Plant in Tomahawk, WI, for Harley Davidson where robotic arms spit out windshields at a rapid pace, while down the road Harley had an antiquated plant where managers had to deal with the humans. I worked in the server rooms for both, covering desktop support (humans) at the old plant, and supporting the robots (AI) at the new plant. The robots rarely broke down and the production was predictable, compared to the drama of human workers who would create mistakes so they could take a break from the hot production line. It was here I learned that AI was coming, and coming for everything soon.

More chatbots will begin to solve real-world problems. In many instances, early chatbots seemed more like technologies in search of problems than customer-centric solutions. As the chatbot hype subsides, technologies mature, and companies get feedback from customers, the problems that chatbots tackle will become more obvious, and, in turn, more valuable. An example is our own ReplyYes' The Edit, which endeavors to solve the problem of product discovery for music lovers. Through a use of progressive disclosure, short keyword interactions, and machine-based curation of vinyl albums, we give customers a personalized and serendipitous experience to help them find music they love.

When was the last time you experienced something unique? Something you've never experienced before? Almost all humans live a routine. We don't do anything exceptionally unique on a day to day basis. I don't mean to make our lives seem mundane or unenthusiastic.