Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interval [0, 1] ⊆ IR to the ordinal or even to the qualitative level. We proceed further and introduce relational measures and relational integration. First ideas of this kind, but for the real-valued linear orderings stem fr...

Research in the field of user modeling has aimed to supersede the current “one-size-fits-all” trend in software development that forces users to change their behaviour according to the preprogrammed functions. This paper discusses aspects of user modeling and its relevance to software customization. In particular, we focus on user modeling techniques that utilize probabilistic and decision-theo...

Automated planning for numerous co-existing agents, with uncertainty caused by various levels of their predictability, observability and autonomy, is a complex task. One of the most significant issues is related to explosion of the state space. This paper presents a formal framework which can be used to model such systems and proposes the use of formally-modeled agents’ preferences as a way of ...

Modeling the evolution of users’ preference over time is essential for personalized recommendation. Traditional time-aware models like (1) timewindow or recency based approaches ignore or deemphasize much potentially useful information, and (2) time-aware collaborative filtering (CF) approaches largely rely on the information of other users, thus failing to precisely and comprehensively profile...

As near-infinite amount of data are becoming accessible on the Web, it becomes more important to support intelligent personalized retrieval mechanisms, to help users identify the results of a manageable size satisfying user-specific needs. Example case studies include major search engines, such as Google and Yahoo, recently released personalized search, which adapts the ranking to the user-spec...

Preference modeling consists in constructing a preference relation from initial preferences given by a decision maker. We are interested in the preference relation obtained from the use of the Choquet integral. The necessity preference is constructed as the intersection of all preference relations corresponding to a Choquet integral which are compatible with the initial preferences of the decis...

Knowledge of the preferences of individual users is essential for intelligent systems whose performance is tailored for individual users, such as agents that interact with human users, instructional environments, and learning apprentice systems. Various memory-based, instance-based, and case-based systems have been developed for preference modeling, but these system have generally not addressed...

In recent years, CP-nets have emerged as a useful tool for supporting preference elicitation, reasoning, and representation. CP-nets capture and support reasoning with qualitative conditional preference statements, statements that are relatively natural for users to express. In this paper, we extend the CP-nets formalism to handle another class of very natural qualitative statements one often u...

This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. The model takes in coarse mention and type information and predicts argument roles for a given event template. This paper addresses the event extraction problem in a primarily unsupervised setting, where no labeled trai...