کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6855393 1437613 2018 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An enhanced aggregation method considering deviations for a group recommendation
ترجمه فارسی عنوان
یک روش جمعآوری پیشرفته با توجه به انحرافات برای توصیه گروهی
کلمات کلیدی
توصیه گروهی، روش جمعآوری، سطح مقطع بالا، انحراف، میانگین، رأی تصویب،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
The goal of a group recommendation involves providing appropriate information for all members in a group. Most extant studies use aggregation methods to determine group preferences. An aggregation method is an approach that aggregates individual preferences of group members to recommend items to a group. Previous studies on aggregation methods only consider high averages, counts, and rankings to provide recommendations. However, the most important component of a group recommendation involves ensuring that majority of the members in a group are satisfied with the recommended results. Therefore, it is necessary to consider the deviation as an important element in aggregation methods. The present study involves proposing an upward leveling (UL) aggregation method that considers deviations for group recommendations. The UL recommends items with low deviations and high averages in conjunction with frequency of positive rating counts for group members. Furthermore, the effectiveness of the UL is validated to perform a comparative evaluation with existing aggregation methods by using the normalized discounted cumulative gain (NDCG) and diversity. The results indicate that the UL outperforms all the baselines and that the deviation plays an important role in the aggregation method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 93, 1 March 2018, Pages 299-312
نویسندگان
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