Considering processes of a business in a recommender system is highly advantageous. Although most studies in the business process analysis domain are of descriptive and predictive nature, the feasibility of constructing a process-aware recommender system is assessed in a few works. One reason can be the lack of knowledge on process mining potential for recommendation problems. Therefore, this paper aims to identify and analyze the published studies on process-aware recommender system techniques in business process management and process mining domain. A systematic review was conducted on 33 academic articles published between 2008 and 2020 according to several aspects. In this regard, we provide a state-of-the-art review with critical details and researchers with a better perception of which path to pursue in this field. Moreover, based on a knowledge base and holistic perspective, we discuss some research gaps and open challenges in this field.

LG has announced the pricing and availability of its 2021 soundbar lineup for the US. Since the models play audio from televisions via TV Sound Mode Share, you can enjoy the benefits of LG TVs' AI Sound Pro feature. The capability uses artificial intelligence to analyze and automatically adjust sounds, depending on the content genre (news, music or cinema) you're listening to. Most of the soundbars in the lineup are now available from retailers, including the most expensive options: the SP9YA and the SP8YA. Both models are compatible with Google Assistant, Amazon Alexa and Siri, enabling voice control.

Amazon's Alexa has a voice familiar to millions: calm, warm, and measured. But like most synthetic speech, its tones have a human origin. There was someone whose voice had to be recorded, analyzed, and algorithmically reproduced to create Alexa as we know it now. Amazon has never revealed who this "original Alexa" is, but journalist Brad Stone says he tracked her down, and she is Nina Rolle, a voiceover artist based in Boulder, Colorado. The claim comes from Stone's upcoming book on the tech giant, Amazon Unbound, an excerpt of which is published here in Wired.

Katie Holmes' ex Emilio Vitolo Jr. is already back on the dating apps, Page Six can confirm. The couple officially split two weeks ago, we're told -- soon after we reported their romance was fizzling out. Vitolo, a budding actor who works at his family's Italian eatery in Soho, has recently been spotted on celebrity dating site Raya, which vets its high-profile users. A source told us: "It's not just Raya -- he's on a bunch of other dating apps too. "He didn't exactly hide the fact that he's broken up from Katie." Last month, another source revealed the pair were spending time apart. "Katie has a lot of big priorities in her life -- she's a single mom, her daughter [Suri] always comes first and things were moving very fast," the source added. Holmes' rep told Us Weekly Thursday: "The pair have parted ways amicably but remain friends." The ex couple were first spotted smooching during a date at Vitolo's family restaurant, Emilio's Ballato. But, as we revealed, it turned out that he'd broken his engagement to designer Rachel Emmons on the same day that he was first pictured with Holmes. The pair were first snapped together on Sept. 1 at the Soho restaurant Antique Garage. But that same day, according to an insider, Vitolo sent Emmons a breakup text. The two were together for nearly two years and got engaged in February 2019, later flying to Italy to look at wedding venues. Just a week before the breakup, Vitolo celebrated his birthday at a party thrown by Emmons at Lower East Side restaurant Balzem. A photo shows him beaming with Emmons by his side, her engagement ring on full display. "Rachel moved out of their apartment on September 2 with only what she could carry with her," said the insider. "She left her engagement ring and all her furniture behind.

The term "Artificial Intelligence" is often being misused or misunderstood, but the technology is doing more good than bad. The earlier developments in the field of AI might not be relevant today, but the process has gone through significant changes over the years. Although, AI is considered one of the newest fields of intellectual research, its foundation was set thousands of years ago. But today, AI is on everyone lips and there's a not a single day goes by without hearing about AI. Today, AI is everywhere, from automation to augmentation to beyond, it's already revolutionizing everything.

As the title suggests, in this blog we are going to learn about text to speech (TTS) synthesis. What is the first bell which rings in your mind when you listen to text to speech? For me, it's Alexa, Google Home, Siri, and many other conversational bots that are on an exponential rise currently. Advances in deep learning research have helped us to generate human-like voices, so let's see how we can use that. I'll start with a few definitions, but if you want to understand these more then read this blog first.

This is an applied research report by Cloudera Fast Forward. We write reports about emerging technologies, and conduct experiments to explore what's possible. Read our full report on Session-based Recommender Systems below, or download the PDF, and be sure to check out our github repo for the Experiments section. Being able to recommend an item of interest to a user (based on their past preferences) is a highly relevant problem in practice. A key trend over the past few years has been session-based recommendation algorithms that provide recommendations solely based on a user's interactions in an ongoing session, and which do not require the existence of user profiles or their entire historical preferences. This report explores a simple, yet powerful, NLP-based approach (word2vec) to recommend a next item to a user. While NLP-based approaches are generally employed for linguistic tasks, here we exploit them to learn the structure induced by a user's behavior or an item's nature. Recommendation systems have become a cornerstone of modern life, spanning sectors that include online retail, music and video streaming, and even content publishing. These systems help us navigate the sheer volume of content on the internet, allowing us to discover what's interesting or important to us. When implemented correctly, recommendation systems help us navigate efficiently and make more informed decisions. While this report is not comprehensive, we will touch on a variety of approaches to recommendation systems, and dig deep into one approach in particular. We'll demonstrate how we used that approach to build a recommendation system from the ground up for an e-commerce use case, and showcase our experimental findings. Recommendation systems are not new, and they have already achieved great success over the past ten years through a variety of approaches. These classic recommendation systems can be broadly categorized as content-based, as collaborative filtering-based, or as hybrid approaches that combine aspects of the two. At a high level, content-based filtering makes recommendations based on user preferences for product features, as identified through either the user's previous actions or explicit feedback.

Google may have retired the Home Max at the end of last year, but you can still find it on sale at the odd online retailer. And as it just so happens, A4C has discounted the smart speaker to $199.95. Using the checkout code "SLICK25," you can get an additional $49.98 off the Home Max, making it $149.97 The last time you could buy the Home Max for under $150 was Black Friday 2020. Priced at $400 when it first came out, in more recent months we've see it cost closer to $180 to $200. We gave the Google Home Max a score 88 in 2017.

Those who have been holding out for a price drop on some of the latest M1 MacBooks were in luck this week. Apple's MacBook Air M1, our current favorite of the bunch, is $100 off at Amazon, and those who need extra storage can get the 512GB model for $150 off. Star Wars Instant Pots continue to be 40 percent off even after the May the 4th holiday has come and gone. Here are the best tech deals from this week that you can still get today. Apple's MacBook Air M1 is down to $899 at Amazon, which is $100 off its normal price and a record low.

Artificial Intelligence and Machine Learning is now considered to be one of the biggest innovations . AI and ML used to be a fanciful concept from science fiction, but now it's becoming a daily reality. The growth of less expensive and more powerful processing, The nearly limitless quantity of available data and affordable data storage has propelled the growth of Machine Learning. Now, before we get into the applications, Let's start with the basic intro to Machine Learning. Machine learning is a branch of AI focused on building applications that improve automatically through experience and by the use of data.