Personalising the Editorial Mix for a Digital Newspaper Using Constraint Programming

Michael Lunĝe

AbstractThis paper proposes a Constraint Programming approach to personalise a composition of articles that follows rules of the editorial mix in a digital newspaper. Inspiration from conventional newspapers will be used to express the problem as a Constraint Optimisation Problem and solved using local search for Constraint Programming taking advantage of both probabilistic and logical approaches. Furthermore, this paper proposes a keyword based solution, using WordNet enrichment of articles in combination with a comparison of entities, to determine the relevance of an article to a user defined topic and similarity between articles. As a by-product of the implementation a library for solving personalisation problems using Constraint
Programming was developed.
TypeMaster's thesis [Academic thesis]
PublisherTechnical University of Denmark, DTU Informatics, E-mail:
AddressAsmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark
NoteSupervised by Michael Kai Petersen,, and Carsten Witt, DTU Informatics
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BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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