Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred from related domains. Many traditional methods focus on enriching compared neighborhood relations in CF directly to address the sparsity problem. In this paper, we propose superhighway construction, an alternative explicit relation-enrichment procedure, to improve recommendations by enhancing cross-domain connectivity. Specifically, assuming partially overlapped items (users), superhighway bypasses multi-hop inter-domain paths between cross-domain users (items, respectively) with direct paths to enrich the cross-domain connectivity. The experiments conducted on a real-world cross-region music dataset and a cross-platform movie dataset show that the proposed superhighway construction significantly improves recommendation performance in both target and source domains.

Implicit feedback is the simplest form of user feedback that can be used for item recommendation. It is easy to collect and domain independent. However, there is a lack of negative examples. Existing works circumvent this problem by making various assumptions regarding the unconsumed items, which fail to hold when the user did not consume an item because she was unaware of it. In this paper, we propose as a novel method for addressing the lack of negative examples in implicit feedback. The motivation is that if there is a large group of users who share the same taste and none of them consumed an item, then it is highly likely that the item is irrelevant to this taste. We use Hierarchical Latent Tree Analysis(HLTA) to identify taste-based user groups and make recommendations for a user based on her memberships in the groups.

If you've ever dreamed of having your own personal stylist--or if you just want to get perfect shots of your #OutfitoftheDay--Amazon's Echo Look might be you new BFF. And today you can get the Alexa-powered camera for just $120, 40 percent off its list price and the first price drop everRemove non-product link. And what's more, today's deal also includes a $25 Amazon Fashion credit that's good on Amazon-sold clothing until December 31, 2018. The Look comes with a built-in camera to take full-body pictures of your daily look, with backgrounds blurred out so the focus is on you. If a photo just isn't enough to see all angles of your outfit, it will take a short 360-degree video or even let you see a live feed via the connected mobile app.

Currently, our AI systems tend to be built for a specific purpose. This is Narrow AI – artificial intelligence that is designed to complete one highly defined task. Common applications for Narrow AI include tasks such as image recognition, automatic video recommendations on sites such as YouTube and Netflix, and the natural language processing ability of the Amazon Alexa digital personal assistant. Whilst Narrow AI systems can excel at executing highly complex tasks, their abilities are limited. A Narrow AI programme that is extremely advanced in its field will be unable to solve tasks outside of that domain – even if they are technically much simpler.

Don't you just love how Siri, Alexa or Google Assistant answer all of your questions? Isn't it interesting when you receive prompt responses on some website's chat box no matter what the time is? Yes, marketers know this interests you and this is why AI holds fascinating possibilities in the future for marketing. Using AI, brands are studying user needs, behaviours and predicting their future actions. AI's competence to handle a large volume of data, and finding reasons and patterns among them has given marketers exceptional ability to make data-driven predictions and decisions.

The gadgets we think of as home essentials have changed beyond recognition in the past few decades. In 1970, just 35 per cent of homes had a landline telephone and there were no mobiles. Now, technologies that were once the stuff of science fiction are part of our daily lives: take Amazon's Alexa – inspired by the talking computer on the Starship Enterprise in Star Trek. Today, millions of British households own these'smart speakers' that allow voice commands to control everything from TVs to lighting systems. Indeed, as of this year, one in five households will be'smart', with devices that are wirelessly connected to the internet, and controlled via smartphone or a hub.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Without a doubt, artificial intelligence (AI) is one of the most important new technologies in the world, with the power to create entirely new industries and professions. Stanford professor Andrew Ng, in fact, has called AI "the new electricity" for its potential world-changing possibilities. So it's perhaps only natural to ask: What impact will AI have on libraries and the world of literature? Perhaps most obviously, AI machines will soon have the power to take over the role of librarians. They will have the power to become not just the stewards of the world's information and literature, but also trusted mentors, research advisors, and content matter experts.

Blockchain technology and artificial intelligence, two cutting-edge technologies, have the potential to change the face of healthcare as we know it by improving the quality and reducing costs through improved efficiencies. Most of us are at least somewhat familiar with artificial intelligence primarily through virtual assistants such as Siri and Alexa. Artificial intelligence automates repetitive learning and discovery through data after initially being set up by a human being. As many people also know, you have to be fairly specific when asking Siri and Alexa any questions -- the question must be posed in the right way -- to get the answer you are looking for. As an example, our interactions with Alexa, Siri, Google Search and Google Photos are based on deep learning.

From Apple's intelligent assistant siri to self driving cars from Tesla to Google AI that can learn video games in a very short period, Artificial Intelligence is transforming industries one after other. The very next aim of AI would be the field of digital marketing which is already evolving dynamically. AI carries a huge potential in the digital marketing field, with the support of AI in providing great customer experience, targeted marketing and predictive analysis will surely provide a better ROI to enterprises. In the past, marketers were uncertain about implementing AI into their strategies. But these years have witnessed considerable trust amongst the marketers with regards to application of AI.