Conference
CubeLSI: an effective and efficient method for searching resources in social tagging systems
| العنوان: | CubeLSI: an effective and efficient method for searching resources in social tagging systems |
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| المؤلفون: | Bi, B, Cheng, R, Kao, B, Lee, SD |
| بيانات النشر: | //ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000178 United States |
| سنة النشر: | 2011 |
| المجموعة: | University of Hong Kong: HKU Scholars Hub |
| مصطلحات موضوعية: | Resource retrieval, Key word matching, Feature space, IR techniques, Efficient method |
| الوصف: | In a social tagging system, resources (such as photos, video and web pages) are associated with tags. These tags allow the resources to be effectively searched through tag-based keyword matching using traditional IR techniques. We note that in many such systems, tags of a resource are often assigned by a diverse audience of causal users (taggers). This leads to two issues that gravely affect the effectiveness of resource retrieval: (1) Noise: tags are picked from an uncontrolled vocabulary and are assigned by untrained taggers. The tags are thus noisy features in resource retrieval. (2) A multitude of aspects: different taggers focus on different aspects of a resource. Representing a resource using a flattened bag of tags ignores this important diversity of taggers. To improve the effectiveness of resource retrieval in social tagging systems, we propose CubeLSI a technique that extends traditional LSI to include taggers as another dimension of feature space of resources. We compare CubeLSI against a number of other tag-based retrieval models and show that CubeLSI significantly outperforms the other models in terms of retrieval accuracy. We also prove two interesting theorems that allow CubeLSI to be very efficiently computed despite the much enlarged feature space it employs. © 2011 IEEE. ; published_or_final_version ; The IEEE 27th International Conference on Data Engineering (ICDE 2011), Hannover, Germany, 11-16 April 2011. In International Conference on Data Engineering Proceedings, 2011, p. 27-38 |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| ردمك: | 978-1-4244-8960-2 1-4244-8960-1 |
| تدمد: | 1084-4627 |
| Relation: | International Conference on Data Engineering Proceedings; http://www.scopus.com/mlt/select.url?eid=2-s2.0-79957801787&selection=ref&src=s&origin=recordpage; The IEEE 27th International Conference on Data Engineering (ICDE 2011), Hannover, Germany, 11-16 April 2011. In International Conference on Data Engineering Proceedings, 2011, p. 27-38; 38; 186894; eid_2-s2.0-79957801787; 27; http://hdl.handle.net/10722/135695 |
| DOI: | 10.1109/ICDE.2011.5767863 |
| الاتاحة: | https://doi.org/10.1109/ICDE.2011.5767863 http://hdl.handle.net/10722/135695 |
| Rights: | ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ; This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ; International Conference on Data Engineering. Proceedings. Copyright © IEEE, Computer Society. |
| رقم الانضمام: | edsbas.90E5A758 |
| قاعدة البيانات: | BASE |
| ردمك: | 9781424489602 1424489601 |
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| تدمد: | 10844627 |
| DOI: | 10.1109/ICDE.2011.5767863 |