%0 Conference Paper %1 paper:felfernig:2009b %A Felfernig, Alexander %A Mairitsch, Markus %A Mandl, Monika %A Schubert, Monika %A Teppan, Erich %C Tainan City, Taiwan %D 2009 %J Next-Generation Applied Intelligence %K own repair requirements utility %P 162--171 %T Utility-Based Repair of Inconsistent Requirements %U http://dx.doi.org/10.1007/978-3-642-02568-6_17 %X Knowledge-based recommender applications support the customer-individual identification of products from large and complex assortments. Recommendations are derived from customer requirements by interpreting filter constraints which reduce the setof possible products to those relevant for the customer. If no solution could be found for the requirements, repair actionsare proposed which support customers in finding a way out of the “no solution could be found” dilemma. State-of-the-art systemssupport the identification of repair actions based on minimality assumptions, i.e., repair alternatives with low-cardinalitychanges are favored compared to alternatives including a higher number of changes. Consequently, repairs are calculated usingbreadth-first conflict resolution which not necessarily results in the most relevant changes. In this paper we present theconcept of utility-based repairs which integrates utility-based recommendation with efficient conflict detection algorithmsand the ideas of model-based diagnosis (MBD).

@inproceedings{paper:felfernig:2009b, abstract = {Knowledge-based recommender applications support the customer-individual identification of products from large and complex assortments. Recommendations are derived from customer requirements by interpreting filter constraints which reduce the setof possible products to those relevant for the customer. If no solution could be found for the requirements, repair actionsare proposed which support customers in finding a way out of the “no solution could be found” dilemma. State-of-the-art systemssupport the identification of repair actions based on minimality assumptions, i.e., repair alternatives with low-cardinalitychanges are favored compared to alternatives including a higher number of changes. Consequently, repairs are calculated usingbreadth-first conflict resolution which not necessarily results in the most relevant changes. In this paper we present theconcept of utility-based repairs which integrates utility-based recommendation with efficient conflict detection algorithmsand the ideas of model-based diagnosis (MBD).}, added-at = {2009-07-21T11:52:38.000+0200}, address = {Tainan City, Taiwan}, author = {Felfernig, Alexander and Mairitsch, Markus and Mandl, Monika and Schubert, Monika and Teppan, Erich}, biburl = {https://www.bibsonomy.org/bibtex/24c112ab821bf317b4eb4ef0f1857fe5e/mschuber}, description = {SpringerLink - Book Chapter}, interhash = {0dd707fa91a87add2ecc8e87ebf68e4c}, intrahash = {4c112ab821bf317b4eb4ef0f1857fe5e}, journal = {Next-Generation Applied Intelligence}, keywords = {own repair requirements utility}, pages = {162--171}, timestamp = {2009-07-21T11:52:49.000+0200}, title = {Utility-Based Repair of Inconsistent Requirements}, url = {http://dx.doi.org/10.1007/978-3-642-02568-6_17}, year = 2009 }