Recommender systems have become an important tool for users to identify interesting items as well as for businesses to promote their products to the right users. With the rapid development of social networks, travelers start to seek recommendations and advises from websites like TripAdvisor and Yelp. While travelers are willing to share their opinions on social networks, this provides an opport...

The number of channels and genres offered by television and video service providers has increased and proliferated tremendously in recent years. This continuous increase is as a result of different factors such as preferences, interests, tastes and demographics of individuals who watch television and video. In order for television and video service providers to attract, retain and satisfy custo...

In this paper we study supervised clustering in the context of label ranking data. Segmentation of such complex data has many potential real-world applications. For example, in target marketing, the goal is to cluster customers in the feature space by taking into consideration the assigned, potentially incomplete product preferences, such that the preferences of instances within a cluster are m...

We examine the effects of various political campaign activities on voter preferences in the domain of US Presidential elections. We construct a comprehensive data set that covers the three most recent elections, with detailed records of voter preferences at the state-week level over an election period. We include various types of the most frequently utilized marketing instruments: two forms of ...

In many interactive decision making scenarios there is often no solution that satisfies all of the user’s preferences. The decision process can be helped by providing explanations. Relaxations show sets of consistent preferences and, thus, indicate which preferences can be enforced, while exclusion sets show which preferences can be relaxed to obtain a solution. We propose a new approach to exp...

The algorithms and technology components used by e-commerce recommender applications are maturing. A central question for online shops in the future will be how to integrate recommender applications into their shop, so as to not only sell goods to new customers, but also to maintain and expand their complex relationship with existing customers. Today most recommender applications are independen...

This paper investigates the convergence of network multimedia and interactive digital television systems and elaborates on a novel research approach that may be adopted in tourism relationship marketing, towards enabling for an efficient process of collecting and analyzing feedback data from tele-viewers. This process may be vital for optimum marketing purposes, targeting customers with a more ...

In real world, customers commonly take relevant attributes into consideration for the selection of products and services. Further, the attribute assessment of a product or service is often presented by a linguistic data sequence. To partition these linguistic data sequences of customers’ assessment on a product or service, a proper clustering method is essential and proposed in this paper. In t...

We study a model in which voters choose between two candidates on the basis of both ideology and competence. While the ideology of the candidates is commonly known, voters are imperfectly informed about competence. Voter preferences, however, are such that it is a dominant strategy to vote according to ideology alone. When voting is compulsory, the candidate of the majority ideology prevails an...