首页>
外国专利>
Local metric learning for tag recommendation in social networks using indexing
Local metric learning for tag recommendation in social networks using indexing
展开▼
机译:使用索引在社交网络中针对标签推荐的局部度量学习
展开▼
页面导航
摘要
著录项
相似文献
摘要
A tag recommendation for an item to be tagged is generated by: selecting a set of candidate neighboring items in an electronic social network based on context of items in the electronic social network respective to an owner of the item to be tagged; selecting a set of nearest neighboring items from the set of candidate neighboring items based on distances of the candidate neighboring items from the item to be tagged as measured by an item comparison metric; and selecting at least one tag recommendation based on tags of the items of the set of nearest neighboring items. The item comparison metric may comprise a Mahalanobis distance metric trained on the set of candidate neighboring items to correlate the trained Mahalanobis distance between pairs of items of the set of candidate neighboring items with an overlap metric indicative of overlap of the tag sets of the two items.
展开▼