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What is PageRank

Chapter 8
Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
A link based algorithm that measures the importance of a document (Web page) not only in terms of the number of documents that link to it but also, the importance of the documents that link to it. It is used by popular search engine Google
Published in Chapter:
Rough Set Based Aggregation for Effective Evaluation of Web Search Systems
Rashid Ali (Aligarh Muslim University, India) and M. M. Sufyan Beg (Jamia Millia Islamia, India)
Copyright: © 2012 |Pages: 18
DOI: 10.4018/978-1-4666-0294-6.ch008
Abstract
Rank aggregation is the process of generating a single aggregated ranking for a given set of rankings. In industrial environment, there are many applications where rank aggregation must be applied. Rough set based rank aggregation is a user feedback based technique which mines ranking rules for rank aggregation using rough set theory. In this chapter, the authors discuss rough set based rank aggregation technique in light of Web search evaluation. Since there are many search engines available, which can be used by used by industrial houses to advertise their products, Web search evaluation is essential to decide which search engines to rely on. Here, the authors discuss the limitations of rough set based rank aggregation and present an improved version of the same, which is more suitable for aggregation of different techniques for Web search evaluation. In the improved version, the authors incorporate the confidence of the rules in predicting a class for a given set of data. They validate the mined ranking rules by comparing the predicted user feedback based ranking with the actual user feedback based ranking. They show their experimental results pertaining to the evaluation of seven public search engines using improved version of rough set based aggregation for a set of 37 queries.
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 18
Using Topic-Specific Ranks to Personalize Web Search
A link analysis algorithm which assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of “measuring” its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is also called the PageRank of E and denoted by PR(E).
Published in Chapter: Using Topic-Specific Ranks to Personalize Web Search; From: Handbook of Research on Digital Libraries: Design, Development, and Impact
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