图 书 馆
通过加权多重关系学习社会化媒体系统的建议Learning Recommendations in Social Media Systems By Weighting Multiple Relations |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_chidlovskii_learning/ |
| 主讲教师: | Boris Chidlovskii |
| 开课单位: | 施乐欧洲研究中心 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We address the problem of item recommendation in social media sharing systems. We adopt a multi-relational framework capable to integrate different entity types available in the social media system and relations between the entities. We then model different recommendation tasks as weighted random walks in the relational graph. The main contribution of the paper is a novel method for learning the optimal contribution of each relation to a given recommendation task, by minimizing a loss function on the training dataset. We report results of the relation weight learning for two common tasks on the Flickr dataset, tag recommendation for images and contact recommendation for users. |
| 关 键 词: | 计算机科学; 社交媒体; 权重 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-05：cwx |
| 阅读次数: | 31 |