Link analysis is a key technology in contemporary web search engines. Most of the previous work on link analysis only used information from one snapshot of web graph. Since commer...
Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, Tie-Yan ...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Search engines use content and link information to crawl, index, retrieve, and rank Web pages. The correlations between similarity measures based on these cues and on semantic ass...
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...