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.
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.
Many of the seminal papers in preference handling have used food preferences as motivating examples for their work. As foodies, the authors find this particularly motivating. While we think that there is both research and commercial potential in preference-based software for restaurants, we believe that serious application of the MPREF community's technology to the problem of personal preference-driven presentation of menus, seating, etc., will require significant further innovation. We broadly survey the current use of preferences in making the dining-out experience more enjoyable, and we look at the states of the art for preference representation and reasoning, and for restaurant software. We illustrate some of our points with a short story.
If you observe Lent, which began this past week, this mightn't be the best time to read stories about excellent California wine or new restaurants with elaborate menus. On the other hand, you'll need to live vicariously -- and plan for all the food and drink you'll be able to enjoy again soon. So we have a story about the lovely Cabernets of the Alexander Valley and a new restaurant featuring Middle Eastern-ish cuisine. Of course, if you're not the sort of person who gives up anything, that's all the more reason to head to Kismet, the subject of Jonathan Gold's latest review. Although, really, who gives up vegetable-intensive small plates or plates of crispy rice anyway?
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.