Scientific Portal Personalization

Práce se zabývá personalizací webových aplikací a možnostmi jejího využití pro vědecké webové portály. Teoretická část práce seznamuje s principy a metodami personalizace. V rámci praktické části je popsána výsledná aplikace, která na základě vytvořeného uživatelského profilu nabízí služby, jako jsou personalizované vyhledávání, doporučování obsahu a ideální průchod konferencí s paralelními sekcemi.This paper describes personalization of web applications and options of usage for scientific web portals. Theoretical part introduces main personalization principles and methods. Practical part of this paper focuses on resulting application. The application provides personalized services based on created user profile such as personalized search, content recommendation and conference planner.

User-centric Query Refinement and Processing Using Granularity Based Strategies

Under the context of large-scale scientific literatures, this paper provides a user-centric approach for refining and processing incomplete or vague query based on cognitive- and granularity-based strategies. From the viewpoints of user interests retention and granular information processing, we examine various strategies for user-centric unification of search and reasoning. Inspired by the basic level for human problem-solving in cognitive science, we refine a query based on retained user interests. We bring the multi-level, multi-perspective strategies from human problem-solving to large-scale search and reasoning. The power/exponential law-based interests retention modeling, network statistics-based data selection, and ontology-supervised hierarchical reasoning are developed to implement these strategies. As an illustration, we investigate some case studies based on a large-scale scientific literature dataset, DBLP. The experimental results show that the proposed strategies are potentially effective. © 2010 Springer-Verlag London Limited