@MASTERSTHESIS\{IMM2012-06386, author = "M. Lun{\o}e", title = "Personalising the Editorial Mix for a Digital Newspaper Using Constraint Programming", year = "2012", school = "Technical University of Denmark, {DTU} Informatics, {E-}mail: reception@imm.dtu.dk", address = "Asmussens Alle, Building 305, {DK-}2800 Kgs. Lyngby, Denmark", type = "", note = "Supervised by Michael Kai Petersen, mkp@imm.dtu.dk, and Carsten Witt, {DTU} Informatics", url = "http://www.imm.dtu.dk/English.aspx", abstract = "This 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." }