Recommender system providing recommendations for unidentified users of a commerial website

机译：推荐系统为商业网站的未认定用户提供建议

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Recommender systems are a popular trend in recent research in Internet technologies. The models and algorithms of these systems are based on applying information of users and website content as well as their interconnections. However, there is a problem of applying these models and algorithms when the users are unidentified and there is an information gap to give recommendations. Each study case appears as a pair of a situation and a set of possible recommendations with their characteristics. The paper offers to solve the problem of generating recommendations through the adaptation process of the initial set of recommendations into which the recommendations are included on basis of criteria of similarity of the main and recommended contents. The adaptation process uses the iteration formula optimizing the recommendation utility function.

机译：推荐系统是近期互联网技术研究的流行趋势。这些系统的模型和算法基于应用用户和网站内容的信息以及它们的互连。然而，当用户未识别时，存在应用这些模型和算法的问题，并且有一个信息差距来提出建议。每个学习案例显示为一对情况和具有其特征的一系列可能的建议。本文提出解决通过初始建议的适应过程产生建议的问题，建议根据主要和推荐内容的相似标准。适应过程使用迭代公式优化推荐实用程序功能。

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来源
《International Conference on Application of Information and Communication Technologies》|2016年|623p|共3页
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作者
Igor N. Gluhih; Ivan Y. Karyakin; Lyudmila V. Sizova;
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中图分类 TN91-53;
关键词
Recommender systems; Adaptation models; Collaboration; Optimization; Mathematical model; Cognition;

机译：推荐系统;适应模型;协作;优化;数学模型;认知;

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专利

1. Predictors of user perceptions of web recommender systems: How the basis for generating experience and search product recommendations affects user responses [J] . Ochi P., Rao S., Takayama L., International journal of human-computer studies . 2010,第8期

机译：用户对Web推荐系统的看法的预测因素：产生体验和搜索产品推荐的基础如何影响用户响应
2. Providing Personalized Services to Users in a Recommender System [J] . Olukunle Oduwobi, Bolanle Ojokoh International Journal of Web-Based Learning and Teaching Technologies . 2015,第2期

机译：在推荐系统中为用户提供个性化服务
3. Do we trust the crowd or information system? Effects of personalization and bandwagon cues on users' attitudes and behavioral intentions toward a restaurant recommendation website [J] . Kim Jinyoung, Gambino Andrew Computers in Human Behavior . 2016,第DECa期

机译：我们相信人群或信息系统吗？个性化和流行提示对用户对餐厅推荐网站的态度和行为意图的影响
4. Recommender system providing recommendations for unidentified users of a commerial website [C] . Igor N. Gluhih, Ivan Y. Karyakin, Lyudmila V. Sizova IEEE International Conference on Application of Information and Communication Technologies . 2016

机译：推荐系统为商业网站的身份不明的用户提供建议
5. An investigation into providing feedback to users of decision support systems for fault management. [D] . Pharmer, James Allen. 2004

机译：对向故障管理决策支持系统的用户提供反馈的调查。
6. HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence [O] . Sundus Ayyaz, Usman Qamar, Raheel Nawaz 2012

机译：HCF-CRS：基于混合内容的模糊保形推荐系统，可为您提供充满信心的推荐
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Recommender system providing recommendations for unidentified users of a commerial website

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