Electronic Commerce has becomes an important means for tourism enterprises to face the increasing competition. How to provide the personalized service for customers is an important issue to raise the service level of tourism. Through analyzing characteristics of tourism, a Personalized Recommendation Model is proposed at the basis of user’s rating feature. It has following features: (1) Pre-pro...

Abstract In response to growing threats of climate change, the US federal government is increasingly supporting community-level investments in resilience natural hazards. As such programs become more widespread, evaluating their efficiency and equity essential. The Community Rating System (CRS), which part National Flood Insurance Program (NFIP), a promising example policy designed reduce flood...

Due to the personalized needs for specific aspect evaluation on product quality, these years have witnessed a boom of researches on aspect rating prediction, whose goal is to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect. Most of the existing works on aspect rating prediction have a basic assumption that the overall rating is the average score of aspect...

This paper examines to what extent credit ratings directly affect capital structure decisions. The paper outlines discrete costs/benefits associated with firm credit rating level differences, and tests whether concerns for these costs/benefits directly affect debt and equity financing decisions. The tests find that firms near a rating upgrade or downgrade issue less debt relative to equity than...

Human computation games (HCGs) often suffer from low player retention. This may be due to the constraints placed on level and game design from the real-world application of the game. Previous work has suggested using player rating systems (such as Elo, Glicko-2, or TrueSkill) as a basis for matchmaking between HCG levels and players, as a means to improve difficulty balancing and thus player re...