Recommending appropriate items to users is crucial in many e-commerce platforms that contain implicit data as users' browsing, purchasing and streaming history. One common approach consists in selecting the N most relevant items to each user, for a given N, which is called top-N recommendation. To do so, recommender systems rely on various kinds of information, like item and user features, past interest of users for items, browsing history and trust between users. However, they often use only one or two such pieces of information, which limits their performance. In this paper, we design and implement GraFC2T2, a general graph-based framework to easily combine and compare various kinds of side information for top-N recommendation. It encodes content-based features, temporal and trust information into a complex graph, and uses personalized PageRank on this graph to perform recommendation. We conduct experiments on Epinions and Ciao datasets, and compare obtained performances using F1-score, Hit ratio and MAP evaluation metrics, to systems based on matrix factorization and deep learning. This shows that our framework is convenient for such explorations, and that combining different kinds of information indeed improves recommendation in general.

What if our phones turned out to be racist, misogynistic, homophobic pricks? Artificial intelligence assistants such as Siri and Alexa are great for convenience and offer a number of benefits. But they also have a lot of flaws and discrimination is one of them. Google, Microsoft, and Facebook have all admitted this. And they're trying to perfect this tech so we can have more ethical, humane AI in our lives.

LinkedIn is one of the favorite recruiting platforms in the market. Everyday, recruiters from all over the world rely on LinkedIn to source and filter candidates for specific career opportunities. Specifically, LinkedIn Recruiter is the product that helps recruiters build and manage a talent pool that optimizes the chances of a successful hire. The effectiveness of LinkedIn Recruiter is powered by an incredibly sophisticated series of search and recommendation algorithms that leverage state of the art machine learning architectures with the pragmatism of real world systems. It's not a secret that LinkedIn has been one of the software giants that has been pushing the boundaries of machine learning research and development.

Q: I am a freelancer working from home, and I want to record calls with my clients. How can I record calls on my smartphone? A: Android makes it much easier to record calls, depending on the device, of course. Android 9 Pie, for example, disabled the ability for third-party apps to record calls. Some smartphone apps require you to set up calls like a conference call, so it may take a few extra steps to get going.

Acumen Research and Consulting, recently published report "Wearable Artificial Intelligence (AI) Market - Global Industry Analysis, Size, and Forecast, 2019 - 2026" LOS ANGELES, May 03, 2019 (GLOBE NEWSWIRE) -- The Global Wearable Artificial Intelligence (AI) Market size is estimated to grow at CAGR above 27 % over the forecast time frame 2019-2026 and reach the market value around USD 185 billion by 2026. The key drivers for development will be increased demand for AI assistants, increased operations in the Healthcare industry, the emergence of IoT and the integration of wireless technologies and the growth of wearable component technology. As the majority of intelligent wearable equipment lacks basic safety mechanisms, an increasing concern for data security in smarts is preventing the growth of the wearable artificial intelligent market. Moreover, the cost of production is high and the consumption of batteries is limited. In the forecast period, the earwear market is projected to grow at more than 43 percent.

The fast pace of artificial intelligence (AI) and automation is propelling strategists to reshape their business models. This is fostering the integration of AI in the business processes but the consequences of this adoption are underexplored and need attention. This paper focuses on the overall impact of AI on businesses - from research, innovation, market deployment to future shifts in business models. To access this overall impact, we design a three-dimensional research model, based upon the Neo-Schumpeterian economics and its three forces viz. innovation, knowledge, and entrepreneurship. The first dimension deals with research and innovation in AI. In the second dimension, we explore the influence of AI on the global market and the strategic objectives of the businesses and finally, the third dimension examines how AI is shaping business contexts. Additionally, the paper explores AI implications on actors and its dark sides.

Amazon's AI assistant will soon be able to speak more than just English in the U.S. The internet giant has launched a new program that will allow U.S. developers to build skills for Spanish-speaking users. In doing so, it will allow Amazon to build a more robust experience for Alexa users when it launches full Spanish-language support later this year. Amazon's AI assistant will soon be able to speak more than just English. 'We're excited to announce that now developers can start building skills for Spanish-speaking customers in the US using the Alexa Skills Kit with the new Spanish for US voice model,' the company wrote in a blog post on Monday. 'Skills that developers create now and are certified for publication will be available for participants in the Alexa Preview program, and to all customers when Alexa launches in the US with Spanish language support later this year.'

Long an obsession of science fiction writers, "artificial intelligence" in the modern era of fast-paced technological innovation is a term that is as ubiquitous as it is nebulous. For the payments technology industry, however, the term describes advanced analytical technology that has an outsized potential to improve the payments ecosystem for banks, payments processors, merchants and consumers. In fact, financial services companies will spend US$11 billion on AI in 2020, according to an analysis by IDC -- more than any other industry cited. They'll stand to make a nice return on their investment as well, according to PwC estimates. In North America alone, AI is projected to increase the GDP of the financial and professional services industry as much as 10 percent by 2030, driven by increases in both productivity and consumption.

Mark Zuckerberg seems to have landed on a solution to turn around his untrustworthy and "not quite human" public image: playing Cupid. Harking back to its humble beginnings as a tool for ranking strangers' attractiveness, Facebook has announced a new feature called Secret Crush, wherein users select the friends for whom they carry a torch. If your crush adds you to their list – and with up to nine picks allowed, your odds aren't bad – Facebook will reveal you to each other and love will assuredly bloom. But if the feeling is not reciprocated, they need never know your identity – just that one of their friends has added them as "a secret crush". It is, for sure, a more welcome notification than "It is [former colleague]'s birthday today.

Unfortunately for singletons in the United States, Facebook will not expand this feature to the U.S. until the end of 2019. So, even though the platform originated in the States and was born out of a desire to connect with others ― both romantically and otherwise -- we will have to suffer through a few more months sans Facebook's intervention in our love lives.