User-curated image collections: Modeling and recommendation
文献类型：会议论文
| 作者 | Li, Yuncheng; Mei T(梅涛); Cong Y(丛杨) ; Luo JB(罗杰波)
|
| 出版日期 | 2015 |
| 会议名称 | 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 |
| 会议日期 | October 29-November 1, 2015 |
| 会议地点 | Santa Clara, CA, United states |
| 关键词 | Image Collection Similarity Measure Visual Features Sparse Representation Metric Learning |
| 页码 | 591-600 |
| 中文摘要 | Most state-of-the-art image retrieval and recommendation systems predominantly focus on individual images. In contrast, socially curated image collections, condensing distinctive yet coherent images into one set, are largely overlooked by the research communities. In this paper, we aim to design a novel recommendation system that can provide users with image collections relevant to individual personal preferences and interests. To this end, two key issues need to be addressed, i.e., image collection modeling and similarity measurement. For image collection modeling, we consider each image collection as a whole in a group sparse reconstruction framework and extract concise collection descriptors given the pretrained dictionaries. We then consider image collection recommendation as a dynamic similarity measurement problem in response to user's clicked image set, and employ a metric learner to measure the similarity between the image collection and the clicked image set. As there is no previous work directly comparable to this study, we implement several competitive baselines and related methods for comparison. The evaluations on a large scale Pinterest data set have validated the effectiveness of our proposed methods for modeling and recommending image collections. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 3 |
| 会议录 | Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-9925-5 |
| WOS记录号 | WOS:000380404600072 |
| 源URL | [http://ir.sia.cn/handle/173321/18519]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Li, Yuncheng,Mei T,Cong Y,et al. User-curated image collections: Modeling and recommendation[C]. 见:3rd IEEE International Conference on Big Data, IEEE Big Data 2015. Santa Clara, CA, United states. October 29-November 1, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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