Web Information Retrieval： Problem and Prospects  

作　　者：Monika Arora Uma Kanjilal Dinesh Varshney 

机构地区：[1]Department of IT, Apeejay School of Management, Dwarka InstitutionalArea, New Delhi 110075, India [2]Department of Library and Information Science, Indira Gandhi Open University Maidan Garhi, New Delhi 110 068, India [3]School of Physics, Devi Ahilya University, Indore 452001, India [4]Multimedia Regional Centre, Madhya Pradesh Bhoj （open） University, Indore 452001, India

出　　处：《Computer Technology and Application》2011年第1期48-57,共10页计算机技术与应用（英文版）

摘　　要：The information access is the rich data available for information retrieval, evolved to provide principle approaches or strategies for searching. For building the successful web retrieval search engine model, there are a number of prospects that arise at the different levels where techniques, such as Usenet, support vector machine are employed to have a significant impact. The present investigations explore the number of problems identified its level and related to finding information on web. The authors have attempted to examine the issues and prospects by applying different methods such as web graph analysis, the retrieval and analysis of newsgroup postings and statistical methods for inferring meaning in text. The proposed model thus assists the users in finding the existing formation of data they need. The study proposes three heuristics model to characterize the balancing between query and feedback information, so that adaptive relevance feedback. The authors have made an attempt to discuss the parameter factors that are responsible for the efficient searching. The important parameters can be taken care of for the future extension or development of search engines.

关 键 词：Information retrieval web information retrieval search engine USENET support vector machine relevance feedback. 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术] TP393.092[自动化与计算机技术—计算机科学与技术]