Many successful recommendation approaches rely on the optimization of a single objective function for a single stakeholder (i.e., the customer) based on customer-product interaction records. In this paper, we argue that for two-sided marketplaces such as music streaming platforms, it is more...

This paper presents a novel probabilistic method for recommending items in the neighborhood-based collaborative filtering framework. For the probabilistic neighborhood selection phase, we use an efficient method for weighted sampling of k neighbors without replacement that also takes into...

This paper describes an approach for incorporating externally specified aggregate ratings informationinto certain types of recommender systems, including two types of collaborating filteringand a hierarchical linear regression model. First, we present a framework for incorporating...

In this paper, we study the problem of discovering interesting patterns in large volumes ofdata. Patterns can be expressed not only in terms of the database schema but also in user-definedterms, such as relational views and classification hierarchies. The user-defined terminology isstored in a...

Numerous proposals for extending the relational data model to incorporate the temporaldimension of data have appeared in the past several years. These proposals have differedconsiderably in the way that the temporal dimension has been incorporated both into thestructure of the extended relations...

Temporal logic queries on Datalog and negated Datalog programs are studied, and their relationship to Datalog queries on these programs is explored. It is shown that, in general, temporal logic queries have more expressive power than Datalog queries on Datalog and negated Datalog programs. It is...

A high-level simulation language based on temporal logic is described. The language combinesa large set of temporal tenses and a rich class of high-level modeling primitives. Also an implementationof the language interpreter is presented. Finally. a real-world case study is describedthat shows...