Personalising the Editorial Mix for a Digital Newspaper Using Constraint Programming |
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| 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. |
| Type | Master's thesis [Academic thesis] |
| Year | 2012 |
| Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk |
| Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark |
| Series | IMM-M.Sc.-2012-78 |
| Note | Supervised by Michael Kai Petersen, mkp@imm.dtu.dk, and Carsten Witt, DTU Informatics |
| Electronic version(s) | [pdf] |
| Publication link | http://www.imm.dtu.dk/English.aspx |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |