A Multi-factor Tag-Based Personalized Search

机译：基于多因素标签的个性化搜索

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摘要

With the growing amount of information available on the Web, the task of retrieving documents of interest has become increasingly difficult. Personalized search has got significant attention because it considers the user's preference into the search process to improve the results. However, studies have shown that users are reluctant to provide any explicit input on their personal preference. In this study, we investigate how a search engine can elicit users' preferences by exploring the user's tagging activity from various sources. We propose a simple yet flexible model to succinctly represent user preferences based on multiple factors. Our experiments show that users' preferences can be elicited from a multi-factor tagging data and personalized search based on user preference yields significant precision improvements over the existing ranking mechanisms in the literature.

机译：随着Web上可用信息的不断增长，检索感兴趣文档的任务变得越来越困难。个性化搜索受到了极大的关注，因为它考虑了用户对搜索过程的偏好以改善结果。但是，研究表明，用户不愿提供有关其个人偏好的任何明确输入。在这项研究中，我们研究了搜索引擎如何通过探索来自各种来源的用户的标记活动来引起用户的偏好。我们提出了一个简单而灵活的模型，以基于多个因素简洁地表示用户的偏好。我们的实验表明，可以从多因素标记数据中得出用户的偏好，并且基于用户偏好的个性化搜索相对于文献中现有的排名机制而言，可以显着提高精度。

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《Web information systems and technologies》|2011年|p.192-206|共15页
会议地点 Noordwijkerhout(NL);Noordwijkerhout(NL)
作者
Frederico Durao; Ricardo Lage; Peter Dolog; Nilay Coskun;
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作者单位

Intelligent Web and Information Systems, Aalborg University, Computer Science Department Selma Lagerloefs Vej 300, DK-9220 Aalborg-East, Denmark;

Intelligent Web and Information Systems, Aalborg University, Computer Science Department Selma Lagerloefs Vej 300, DK-9220 Aalborg-East, Denmark;

Intelligent Web and Information Systems, Aalborg University, Computer Science Department Selma Lagerloefs Vej 300, DK-9220 Aalborg-East, Denmark;

Istanbul Technical University, Science and Technology Institution Building 34469 Maslak, Istanbul;

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原文格式 PDF
正文语种 eng
中图分类电子贸易、网上贸易;
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1. Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy [J] . Haoran Xie, Xiaodong Li, Tao Wang, Information Processing & Management . 2016,第1期

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2. Bayesian recommender system for social information sharing: Incorporating tag-based personalized interest and social relationships [J] . Huang Cheng-Lung Intelligent data analysis . 2019,第3期

机译：贝叶斯社交信息共享推荐系统：结合基于标签的个性化兴趣和社交关系
3. Bayesian recommender system for social information sharing: Incorporating tag-based personalized interest and social relationships [J] . Huang Cheng-Lung Intelligent data analysis . 2019,第3期

机译：贝叶斯建议社交信息分享系统：纳入基于标签的个性化兴趣和社会关系
4. Personalized Image search through tag-based user profile on social websites [C] . Akalya B., Sumathi B., Arock Nancy G. 2013 International Conference on Circuits, Power and Computing Technologies . 2013

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5. Smart Image Search System Using Personalized Semantic Search Method. [D] . Zhang, Fangyu. 2017

机译：使用个性化语义搜索方法的智能图像搜索系统。
6. JUMP: A Tag-based Database Search Tool for Peptide Identification with High Sensitivity and Accuracy [O] . Xusheng Wang, Yuxin Li, Zhiping Wu, 2014

机译：JUMP：一种基于标签的数据库搜索工具可高灵敏度和高精度地鉴定肽
7. Personalizing and Improving Tag-Based Search in Folksonomies [O] . Beldjoudi, Samia, Seridi-Bouchelaghem, Hassina, Faron-Zucker, Catherine 2012

机译：个性化和改进民俗分类中基于标签的搜索

A Multi-factor Tag-Based Personalized Search

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