Over the past few years the CES trade show has become a familiar post-holidays pilgrimage for many of the country's biggest marketers. They see the event as a way to get a sneak peek at the latest tech gadgets and technologies that can help them engage with their customers. This year marketing executives from companies such as Coca-Cola, Unilever, Johnson & Johnson, Campbell Soup and PepsiCo Inc. made their way to Las Vegas for the gathering. The convention was jam-packed with everything from self-driving cars to robots that play chess to Procter & Gamble's air-freshener spray that can connect with Alphabet Inc.'s Nest home to automatically release pleasant scents in the home. But there was one category that seemed to especially win over marketers: virtual assistants.
Assuming the decision maker behaves according to the EU model, we investigate the elicitation of generalized additively decomposable utility functions on a product set (GAI-decomposable utilities). We propose a general elicitation procedure based on a new graphical model called a GAI-network. The latter is used to represent and manage independences between attributes, as junction graphs model independences between random variables in Bayesian networks. It is used to design an elicitation questionnaire based on simple lotteries involving completely specified outcomes. Our elicitation procedure is convenient for any GAI-decomposable utility function, thus enhancing the possibilities offered by UCP-networks.
Editor's Note: Tech Tracker looks at different technologies that are disrupting the industry and changing the way restaurants operate and interact with customers. Through a partnership with online reservation platform Resy, several critically acclaimed and buzzworthy restaurants across the country are hosting "Off Menu Week" throughout the year starting in late February. Off Menu Week was designed as an alternative to traditional restaurant weeks, which occur in various cities throughout the year. Off Menu Week, by contrast, celebrates experimentation and risk. "As diners, we crave connection to the creative people behind our favorite restaurants. We thought, let's throw out the dated premise of restaurant week and bring to life a program that's fundamentally about that connection and creativity," Resy co-founder and CEO Ben Leventhal said in a statement.
Criminals looking for a quiet pint suddenly found themselves collared when cops used facial recognition technology to catch thirsty crooks at a Chinese beer festival. Twenty-five wanted individuals were arrested when they tipped up to sample the offerings at the annual bash in Qingdao--home to China's most famous brew. Those snared included one man who had been on the run for ten years, only to be undone by his hankering for a lager. Eighteen cameras installed at four entrances to the festival identified each of the suspects in under one second, Qingdao police said this week. According to Qingdao authorities, the system has a 98.1 accuracy rate and sounds an alarm if a subject's face is found in the police database.
Until the last 5 years or so, it was infeasible to uncover topics and emotions across the web without powerful computing resources. Engineers didn't have efficient methods to make sense of words and documents at a large scale. Now, with deep learning, we can convert unstructured text to computable formats, effectively incorporating semantic knowledge for training machine learning models. Harnessing the vast data troves of the digital world can help us understand people more directly, going beyond the limitations of collecting data points through measurements and survey results. Here's a glimpse into how we achieve this at MarianaIQ.