To address the long-standing data sparsity problem in recommender systems (RSs), cross-domain recommendation (CDR) has been proposed to leverage the relatively richer information from a richer domain to improve the recommendation performance in a sparser domain. Although CDR has been extensively studied in recent years, there is a lack of a systematic review of the existing CDR approaches. To fill this gap, in this paper, we provide a comprehensive review of existing CDR approaches, including challenges, research progress, and future directions. Specifically, we first summarize existing CDR approaches into four types, including single-target CDR, multi-domain recommendation, dual-target CDR, and multi-target CDR. We then present the definitions and challenges of these CDR approaches. Next, we propose a full-view categorization and new taxonomies on these approaches and report their research progress in detail. In the end, we share several promising research directions in CDR.

I recently wrote a book on deep learning - Mastering PyTorch which is now available on Amazon. It is an applied deep learning book with tons of exercises on training, testing, deploying, interpreting .. various kinds of deep learning models, using PyTorch. If you want to get hands-on proficiency in deep learning, this book can be a good resource. I have tried to keep the contents easy to grasp while retaining all the essential technical concepts.If you do get a copy, please let me know how you found it, and possibly leave an Amazon review. You can also read a synopsis of the book here.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. J.J. Watt has apparently found his team new: the Arizona Cardinals. Watt tweeted a picture of himself working out in a Cardinals shirt, signaling that he will join the team for the 2021 season. Watt agreed to a two-year deal worth $31 million, ESPN reported.

Deep Nostalgia, a new service from the genealogy site MyHeritage that animates old family photos, has gone viral on social media, in another example of how AI-based image manipulation is becoming increasingly mainstream. Launched in late February, the service uses an AI technique called deep learning to automatically animate faces in photos uploaded to the system. Because of its ease of use, and free trial, it soon took off on Twitter, where users uploading animated versions of old family photos, celebrity pictures, and even drawings and illustrations. "It makes me so happy to see him smile again!" Try our new #DeepNostalgia #PhotoAnimation feature for yourself and prepare to be AMAZED!!! https://t.co/p3h600G3MX

Here are 10 upcoming ones that focus on artificial intelligence and machine learning.

Researchers analyzed the brain signals and eye and facial movements of people engaged in lucid dreaming "conversations." In the movie Inception, Leonardo DiCaprio enters into other people's dreams to interact with them and steal secrets from their subconscious. Now, it seems this science fiction plot is one baby step closer to reality. For the first time, researchers have had "conversations" involving novel questions and math problems with lucid dreamers--people who are aware that they are dreaming. The findings, from four labs and 36 participants, suggest people can receive and process complex external information while sleeping.

Over time, machine learning can turn speech recognition into a powerful tool. That's how speech recognition works for humans. But does it work for cats?

Fort Collins, Colorado: The Edge Artificial Intelligence (AI) Chip Market report is intended to provide a 360-degree view of the market in terms of …

Like the animated paintings that adorn the walls of Harry Potter's school, a new online tool promises to bring portraits of dead relatives to life, stirring debate about the use of technology to impersonate people. Genealogy company MyHeritage launched its "Deep Nostalgia" feature earlier this week, allowing users to turn stills into short videos showing the person in the photograph smiling, winking and nodding. "Seeing our beloved ancestors' faces come to life ... lets us imagine how they might have been in reality, and provides a profound new way of connecting to our family history," MyHeritage founder Gilad Japhet said in a statement. Developed with Israeli computer vision firm D-ID, Deep Nostalgia uses deep learning algorithms to animate images with facial expressions that were based on those of MyHeritage employees. Some of the company's users took to Twitter on Friday to share the animated images of their deceased relatives, as well as moving depictions of historical figures, including Albert Einstein and Ancient Egypt's lost Queen Nefertiti.

As advancement in Artificial Intelligence continues, experts in various fields are coming up with new ways of utilising the technology. Interestingly, a company has used the mechanics to create hyper-realistic AI-generated virtual hands to accurately recreate songs played by professional pianists. A video, which has now gone viral, features the original soundtrack and the AI hands playing the tunes simultaneously. Created by Canadian-based Massive Technologies, the AI is programmed to understand the musical composition and recreate the same with 3D rendered virtual hands. According to the video description, the AI extracted the notes from the raw audio and generated the exact playing technique, perfectly mincing the hand and body motion.