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Essec\Faculty\Model\Contribution {#2216 ▼
  #_index: "academ_contributions"
  #_id: "2117"
  #_source: array:26 [
    "id" => "2117"
    "slug" => "2117-offering-online-recommendations-with-minimum-customer-input-through-conjoint-based-decision-aids 2117-offering-online-recommendations-with-minimum-customer-input-through-conjoint-based-decision-aid "
    "yearMonth" => "2008-03"
    "year" => "2008"
    "title" => "Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids"
    "description" => "DE BRUYN, A., LIECHTY, J.C., HUIZINGH, E.K.R.E. et LILIEN, G.L. (2008). Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids. <i>Marketing Science</i>, 27(3), pp. 443-460. DE BRUYN, A., LIECHTY, J.C., HUIZINGH, E.K.R.E. et LILIEN, G.L. (2008). Offering Online Recommendati "
    "authors" => array:4 [
      0 => array:3 [
        "name" => "DE BRUYN Arnaud"
        "bid" => "B00024825"
        "slug" => "de-bruyn-arnaud"
      ]
      1 => array:1 [
        "name" => "LIECHTY J.C."
      ]
      2 => array:1 [
        "name" => "HUIZINGH E.K.R.E."
      ]
      3 => array:1 [
        "name" => "LILIEN G.L."
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:1 [
      0 => "Analyse conjointe"
    ]
    "updatedAt" => "2020-12-17 17:55:06"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => "443-460"
      "volume" => "27"
      "number" => "3"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Cet article explore différentes approches permettant d'utiliser l'analyse conjointe pour développer un système de recommendation en ligne nécessitant des efforts minima de la part des utilisateurs. Cet article explore différentes approches permettant d'utiliser l'analyse conjointe pour développer  "
      "en" => "This article explores different approaches to design an efficient and easy-to-use questionnaire-based recommender system, based on the results of a conjoint analysis. This article explores different approaches to design an efficient and easy-to-use questionnaire-base "
    ]
    "authors_fields" => array:2 [
      "fr" => "Marketing"
      "en" => "Marketing"
    ]
    "indexedAt" => "2025-04-02T13:21:49.000Z"
    "docTitle" => "Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/de-bruyn-arnaud">DE BRUYN Arnaud</a>, LIECHTY J.C., HUIZINGH E.K.R.E., LILIEN G.L."
    "docDescription" => "<span class="document-property-authors">DE BRUYN Arnaud, LIECHTY J.C., HUIZINGH E.K.R.E., LILIEN G.L.</span><br><span class="document-property-authors_fields">Marketing</span> | <span class="document-property-year">2008</span> <span class="document-property-authors">DE BRUYN Arnaud, LIECHTY J.C., HUIZINGH E.K.R.E., LILIEN G.L "
    "keywordList" => "<a href="#">Analyse conjointe</a>"
    "docPreview" => "<b>Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids</b><br><span>2008-03 | Journal articles </span> <b>Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids< "
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids</a> <a href="#" target="_blank">Offering Online Recommendations with Minimum Customer Input through Conj "
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.142561
  +"parent": null
}