Combining configuration and recommendation to enable an interactive guidance of product line configuration - Université Paris 1 Panthéon-Sorbonne
Chapitre D'ouvrage Année : 2014

Combining configuration and recommendation to enable an interactive guidance of product line configuration

Résumé

This paper is interested in e-commerce for complex configurable products/systems. E-commerce makes a wide use of recommendation techniques to help customers identify relevant products or services in large collections of offers. One particular way to achieve this is to offer customers a panel of options among which they can select their preferred ones. A trend in the industry is to go a step further, beyond the selection of pre-defined products from a catalogue by handling products customization. The systems engineering community has shown that, based on product line engineering methods, techniques and tools, it is possible to produce customized products efficiently and at low cost. The problem is that there are usually so many products in a PL that it is impossible to specify all of them explicitly, and therefore traditional recommendation techniques cannot be simply applied. This paper proposes an approach that combines two complementary forms of guidance: configuration and recommendation, to help customers define their own products out of a product line specification. The proposed approach, called interactive configuration supports the combination by organizing the configuration process in a series of partial configurations where decisions are made by the recommendation. This paper illustrates this process by applying it to an example with the content based method for recommendation and the a priori configuration approach.
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Dates et versions

hal-01071284 , version 1 (03-10-2014)

Identifiants

  • HAL Id : hal-01071284 , version 1

Citer

Raouia Triki, Raul Mazo, Camille Salinesi. Combining configuration and recommendation to enable an interactive guidance of product line configuration. Gérald Kembellec, Ghislaine Chartron et Imad Saleh. Les systèmes et moteurs de recommandation, Hermès, pp.141-160, 2014. ⟨hal-01071284⟩

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