document: Improving pseudo-relevance feedback in web information retrieval using web page segmentation In contrast to traditional document retrieval , a web page as a whole is not a good information unit to search because it often contains multiple topics and a lot of irrelevant information from navigation , decoration , and interaction part of the page . In this paper , we propose a VIsion-based Page Segmentation ( VIPS ) algorithm to detect the semantic content structure in a web page . Compared with simple DOM based segmentation method , our page segmentation scheme utilizes useful visual cues to obtain a better partition of a page at the semantic level . By using our VIPS algorithm to assist the selection of query expansion terms in pseudo-relevance feedback in web information retrieval , we achieve 27 % performance improvement on Web Track dataset .
doc_bio_tags: O O O O B I I O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O B I I O O O O O O O O O O O O