With the growth of the Web, there has been a rapid increase in the number of users who need to access online databases without having a detailed knowledge of the schema or of quer...
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit fo...
Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
Purpose – The purpose of this paper is to identify the most popular techniques used to rank a web page highly in Google. Design/methodology/approach – The paper presents the r...