Restaurant table management can have significant impact on both profitability and the customer experience. The core of the issue is a complex dynamic combinatorial problem. We show how to model the problem as constraint satisfaction, with extensions which generate flexible seating plans and which maintain stability when changes occur. We describe an implemented system which provides advice to u...

The automatic induction of scripts (Schank and Abelson, 1977) has been the focus of many recent works. In this paper, we employ a variety of these methods to learn Schank and Abelson’s canonical restaurant script, using a novel dataset of restaurant narratives we have compiled from a website called “Dinners from Hell.” Our models learn narrative chains, script-like structures that we evaluate w...

We describe the work carried out by DCU on the Aspect Based Sentiment Analysis task at SemEval 2014. Our team submitted one constrained run for the restaurant domain and one for the laptop domain for sub-task B (aspect term polarity prediction), ranking highest out of 36 systems on the restaurant test set and joint highest out of 32 systems on the laptop test set.

Dividend relevance has been a subject of significant recent interest for academicians and researchers in the area of hospitality finance. The subject has attracted noticeable controversy, given the stringent or no-dividend payout policies observed in many hospitality firms. This study builds on existent dividend literature in hospitality finance by examining the relevance of cash dividends for ...

This study conducts dynamic simulation by using System Dynamics Theory and Vensim software which investigates the relationship between consumer satisfaction and operations strategies of campus restaurants. This study simulates the effects of four priorities including service quality, profits of restaurants, turnover rate of restaurant stands and consumer satisfaction which affect the operations...

System: User: System: User: System: Welcome to the Bochum restaurant information system BoRIS. I„ll help you find a restaurant based on the following criteria: Food type, price range, time, date, and location. How may I help you? I„m looking for a restaurant in the university district serving traditional German food. OK, when do you want to go there? Saturday night. I couldn„t understand you. W...

INTRODUCTION Restaurant workers are a large population at high risk for tobacco use, physical inactivity, and influenza. They are difficult to reach with health care interventions and may be more accessible through workplaces, yet few studies have explored the feasibility of workplace health promotion in this population. This study sought to identify barriers and facilitators to promotion of to...

This study aims to determine several things, the first is effect of frontliner friendliness on passenger satisfaction at XYZ cruise line Restaurant, second food quality Restaurant; third, influence experience enjoying Restaurant line; fourth, frontliner's food; fifth, sixth, through and seventh, as an intervening variable. research method uses a descriptive quantitative method. The population p...

The paper describes a continuous monitoring methodology in an environment with multiple cues indicative of fraud and errors. A case study describes an application by a restaurant franchisor on the monthly sales numbers reported by franchisees. The system scores each restaurant based on variables judged to be possible indicators of fraud or errors in the monthly sales reports. The variables are ...

Many people use Yelp to find a good restaurant. Nonetheless, with only an overall rating for each restaurant, Yelp offers not enough information for independently judging its various aspects such as environment, service or flavor. In this paper, we introduced a machine learning based method to characterize such aspects for particular types of restaurants. The main approach used in this paper is...