Language representation of restaurants: Implications for developing online recommender systems

As a marketing tool recommender systems have the potential to provide relevant and highly personalized information to consumers. However, developing effective recommender systems requires a substantive understanding of consumers’ preferences as well as meaningful ways to represent hospitality and travel products. This paper argues that language holds the key to understanding consumer preferences and therefore developing effective online recommender systems. Specifically, it explores the nature of the language used by consumers to describe their dining experiences in contrast to the language used by restaurant websites. The findings indicate that consumers use substantially different vocabularies from restaurant websites to describe dining experiences. This study provides implications for developing online recommender systems for restaurants as well as general hospitality and travel products.