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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gionis, Aristides Castillo, Carlos Poblete, Barbara |
| Abstract | We introduce a unified graph representation of the Web, which includes both structural and usage information. We model this graph using a simple union of the Web's hyperlink and click graphs. The hyperlink graph expresses link structure among Web pages, while the click graph is a bipartite graph of queries and documents denoting users' searching behavior extracted from a search engine's query log. Our most important motivation is to model in a unified way the two main activities of users on the Web: searching and browsing, and at the same time to analyze the effects of random walks on this new graph. The intuition behind this task is to measure how the combination of link structure and usage data provide additional information to that contained in these structures independently. Our experimental results show that both hyperlink and click graphs have strengths and weaknesses when it comes to using their stationary distribution scores for ranking Web pages. Furthermore, our evaluation indicates that the unified graph always generates consistent and robust scores that follow closely the best result obtained from either individual graph, even when applied to "noisy" data. It is our belief that the unified Web graph has several useful properties for improving current Web document ranking, as well as for generating new rankings of its own. In particular stationary distribution scores derived from the random walks on the combined graph can be used as an indicator of whether structural or usage data are more reliable in different situations. |
| Starting Page | 1123 |
| Ending Page | 1132 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781595939913 |
| DOI | 10.1145/1458082.1458231 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-10-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Usage mining Web graphs Random-walks Structure mining Search engine queries |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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