Last week, I wrote about how YouTube Algorithm works and the AI workflow behind it. During my research regarding the YT algorithm, I found a really interesting article by Chris Lovejoy where using YT API, he managed to create a personalized recommendation system. Inspired by his thought process and an insightful article, I decided to create my own YT recommendation algorithm using YT APIs. The plan was to create a system that can suggest relevant videos following a personalized plan. The motive was to avoid looking for the best video in a pool of 1000s of videos but rather to get a video that statistically suits my taste.

Products featured in this Mail Best article are independently selected by our shopping writers. If you make a purchase using links on this page, we may earn an affiliate commission. Last week Amazon announced that Prime Day 2021 would take place on 21 and 22 June, and while we anticipate what will be on offer, early Prime Day deals have already kicked off. Right now, Prime members (sign up for a free 30-day trial) can start shopping early exclusive offers and deals, including a whopping saving of 58 per cent off Amazon Echo Buds, now £49.99 (non-deal price £119.99). Just one of the many early Prime Day deals, this is the lowest price the Amazon Echo Buds have been since they launched, making it a great time to pick up a pair.

Google often uses its annual developer conference, I/O, to showcase artificial intelligence with a wow factor. In 2016, it introduced the Google Home smart speaker with Google Assistant. In 2018, Duplex debuted to answer calls and schedule appointments for businesses. In keeping with that tradition, last month CEO Sundar Pichai introduced LaMDA, AI "designed to have a conversation on any topic." In an onstage demo, Pichai demonstrated what it's like to converse with a paper airplane and the celestial body Pluto.

If you're on a dating app, it's likely you've had the embarrassing experience of coming across a former flame, cousin or colleague while browsing for a date. But the days of awkward run-ins are finally a thing of the past, thanks to Tinder's latest feature. The app has launched a new Block Contacts tool that allows users to block personal contacts in the app. Bernadette Morgan, Group Product Manager, Trust & Safety at Tinder, said: 'We may not be able to save you from awkward run-ins at the coffee shop, but we are giving you more control over your experience on Tinder.' The Block Contacts feature gives members more control over their experience, allowing them to black specific personal contacts that they'd rather not come across The tool can be found within the Profile Settings section of the app.

Let's face facts here: While technology can be a godsend, it's downright frustrating at times. Just ask anyone trying to get into their phone after accidentally locking themselves out. Or someone whose Zoom call keeps freezing up because the bandwidth is spotty because it's being shared by three other people at home. And some days, more time is spent on deleting spam emails than getting work done. Mastering tech is an iterative process.

This first blog post will focus on how Artificial Intelligence (AI) evolved throughout the years, I will mention and describe some of the milestones of this evolution and analyse how it became part of our lives and how it will become even more important in the future. Digital technology has been one of the fastest-growing tech in the history of mankind, today our phones have hundreds of GB of storage and process data faster than a computer would a few decades ago, the only other branches of technology that have developed this quickly are weapons. It is not rare to hear how computers were'as big as a room' but one of the most interesting examples of the leap of digital technology, specifically information technology, dates back to 1969 when a computer with only 14kb of ram steered and landed the Saturn V and its human hosts on the moon. To put that into perspective, the blog that I am now writing will occupy more than 14kb of space in my storage, nowadays, we are used of talking about Megabytes or Gigabytes, or even Terabytes. Using kilobytes for everyday use would be like weighing a person in grams.

Building a question-answering agent currently requires large annotated datasets, which are prohibitively expensive. This paper proposes Schema2QA, an open-source toolkit that can generate a Q&A system from a database schema augmented with a few annotations for each field. The key concept is to cover the space of possible compound queries on the database with a large number of in-domain questions synthesized with the help of a corpus of generic query templates. The synthesized data and a small paraphrase set are used to train a novel neural network based on the BERT pretrained model. We use Schema2QA to generate Q&A systems for five Schema.org domains, restaurants, people, movies, books and music, and obtain an overall accuracy between 64% and 75% on crowdsourced questions for these domains. Once annotations and paraphrases are obtained for a Schema.org schema, no additional manual effort is needed to create a Q&A agent for any website that uses the same schema. Furthermore, we demonstrate that learning can be transferred from the restaurant to the hotel domain, obtaining a 64% accuracy on crowdsourced questions with no manual effort. Schema2QA achieves an accuracy of 60% on popular restaurant questions that can be answered using Schema.org. Its performance is comparable to Google Assistant, 7% lower than Siri, and 15% higher than Alexa. It outperforms all these assistants by at least 18% on more complex, long-tail questions.

Recently, a new form of online shopping becomes more and more popular, which combines live streaming with E-Commerce activity. The streamers introduce products and interact with their audiences, and hence greatly improve the performance of selling products. Despite of the successful applications in industries, the live stream E-commerce has not been well studied in the data science community. To fill this gap, we investigate this brand-new scenario and collect a real-world Live Stream E-Commerce (LSEC) dataset. Different from conventional E-commerce activities, the streamers play a pivotal role in the LSEC events. Hence, the key is to make full use of rich interaction information among streamers, users, and products. We first conduct data analysis on the tripartite interaction data and quantify the streamer's influence on users' purchase behavior. Based on the analysis results, we model the tripartite information as a heterogeneous graph, which can be decomposed to multiple bipartite graphs in order to better capture the influence. We propose a novel Live Stream E-Commerce Graph Neural Network framework (LSEC-GNN) to learn the node representations of each bipartite graph, and further design a multi-task learning approach to improve product recommendation. Extensive experiments on two real-world datasets with different scales show that our method can significantly outperform various baseline approaches.

Some of the apps are including additional incentives for those who say they are vaccinated - such as free credits or access to premium features that usually cost extra, like profile boosts, virtual rose giving and "super likes".

First came the idea of making Covid vaccinations mandatory to go to the pub, while Israel offered free pizza and beer with a shot. Now UK officials have hit on what they hope is an even more persuasive reason for young people to get their jab: more chance of getting a date. In an eye-catching policy coinciding with the rollout of vaccinations for the under-30s beginning this week, the Department of Health and Social Care (DHSC) has teamed up with popular dating apps to encourage take-up of the programme. Users of Tinder, Match, Hinge, Bumble, Badoo, Plenty of Fish, OurTime and Muzmatch will enjoy a series of benefits if they add their vaccination status to their profile, including virtual badges and stickers. Most of the apps are also giving people who say they have been vaccinated free bonuses such as a certain number of "boosts", which promote their profile to potential dates, offering the tantalising prospect of a greater stake in what has already been billed a post-pandemic "summer of love".