When confronted with too many choices, our satisfaction decreases (Iyengar & Lepper, 2000). Recommender systems may help increase satisfaction by making certain items more salient than others. Content-based recommendations are based on previouslyB FerwerdaK SwelsenE YangBruceferwerda Com...
If we talk about movie recommendations, for example, the attributes may be the length of a film, its genre, cast, director, and so on.Say, a user has watched such movies as “Heat,”“Goodfellas,” and“The Irishman.” A content-based system will probably provide the user with recommen...
compute a user profile, a representation of theuser’s likes and dislikes; iii.) The system computes recom-mendations using these user profiles.Two of the traditional approaches to building a user profileand computing recommendations are collaborative filtering(CF) and content-based (CB) ...
however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an ...
You should read this! let me explain you why: explaining news recommendations to users 来自 掌桥科研 喜欢 0 阅读量: 44 作者:R Blanco,D Ceccarelli,C Lucchese,R Perego,F Silvestri 摘要: Recommender systems have become ubiquitous in content-based web applications, from news to shopping sites. ...
我们现在提出局部可解释且与模型无关的(LIME)。 LIME 的总体目标是在局部忠实于分类器的可解释表示上识别可解释模型。 3.1 Interpretable Data Representations可解释的数据表示 Before we present the explanation system, it is important to distinguish between features and interpretable data representations. As menti...
6 Jacobs and colleagues tested five conditions and found that incorrect AI recommendations worsened clinician judgement overall, but this was most pronounced with feature-based explanations (where the model identifies the specific aspects of the patient in question which supposedly related to the output)...
Therefore, a practitioner may wish to choose a less accurate model for content recommendation that does not place high importance in features related to “clickbait” articles (which may hurt user retention), even if exploiting such features increases the accuracy of the model in cross validation....
it was neither possible to analytically distinguish the feasibility of recommendations from the dependent (outcome) variable. In the same vein, we could not obtain reliable findings when investigating whether it was the evaluator and/or the policy maker who took the initiative for contact. Respondents...
Based on the above argument, farmers in Karchick and Star Ikan who own relatively smaller lands as compared to those in Bugun will be more affected. Farmers’ resistance to adopt the recommendations made by the model can thus partly be explained by the level of risk associated with the transi...