A3CRank: An adaptive ranking method based on connectivity, content and click-through data
AMZ Bidoki, P Ghodsnia, N Yazdani… - Information processing & …, 2010 - Elsevier
Due to the proliferation and abundance of information on the web, ranking algorithms play
an important role in web search. Currently, there are some ranking algorithms based on
content and connectivity such as BM25 and PageRank. Unfortunately, these algorithms
have low precision and are not always satisfying for users. In this paper, we propose an
adaptive method, called A3CRank, based on the content, connectivity, and click-through
data triple. Our method tries to aggregate ranking algorithms such as BM25, PageRank, and …
an important role in web search. Currently, there are some ranking algorithms based on
content and connectivity such as BM25 and PageRank. Unfortunately, these algorithms
have low precision and are not always satisfying for users. In this paper, we propose an
adaptive method, called A3CRank, based on the content, connectivity, and click-through
data triple. Our method tries to aggregate ranking algorithms such as BM25, PageRank, and …
以上显示的是最相近的搜索结果。 查看全部搜索结果