RT - Journal Article T1 - Web Page Streams and Relevance Propagation for Topic Distillation JF - ITRC YR - 2014 JO - ITRC VO - 6 IS - 1 UR - http://ijict.itrc.ac.ir/article-1-137-en.html SP - 43 EP - 54 K1 - Web page streams K1 - relevance propagation K1 - topic distillation K1 - information retrieval K1 - search engine K1 - web page ranking AB - Over the past decade, several studies in field of relevance propagation models have been proposed to improve quality of web search, which include hyperlink-based score propagation, hyperlinkbased term propagation and popularity-based relevance propagation models; however, all of them have used low precision content similarity functions in the propagation process and their throughputs are not entirely satisfactory. In this paper, two stream-based content similarity functions that could be used to derive new relevance propagation models were introduced. In the proposed content similarity functions, the web page was split to different streams with different degrees of importance and the text of each web page was divided between these streams. To evaluate the proposed relevance propagation models, Letor 3.0 (including two standard web test collections) was used in the experiments. It was concluded that splitting web pages as different streams could provide significant improvement in relevance propagation models. LA eng UL http://ijict.itrc.ac.ir/article-1-137-en.html M3 ER -