The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Learning to Create Customized Authority Lists
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Computing personalized pageranks
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Neural computation, social networks, and topological spectra
Theoretical Computer Science
Adaptive page ranking with neural networks
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Page quality: in search of an unbiased web ranking
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Hyperlink analysis on the world wide web
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Efficient PageRank approximation via graph aggregation
Information Retrieval
Learning to rank networked entities
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Computing customized page ranks
ACM Transactions on Internet Technology (TOIT)
Learning to rank relational objects and its application to web search
Proceedings of the 17th international conference on World Wide Web
Learning web page scores by error back-propagation
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The graph neural network model
IEEE Transactions on Neural Networks
ACM Transactions on Information Systems (TOIS)
Ranking on large-scale graphs with rich metadata
Proceedings of the 20th international conference companion on World wide web
Semi-supervised ranking on very large graphs with rich metadata
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A neural network approach to web graph processing
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Learning parameters in entity relationship graphs from ranking preferences
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Automated functional testing of online search services
Software Testing, Verification & Reliability
Social networks and web minorities
Cognitive Systems Research
Magnet community identification on social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Large-scale graph mining and learning for information retrieval
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Hi-index | 0.00 |
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It is shown that this problem can be solved using the traditional quadratic programming techniques. In addition, it is shown that the number of parameters can be reduced by clustering web pages together through simple clustering techniques. This problem can be formulated and solved using quadratic programming techniques. It is demonstrated experimentally on a relatively large web data set, viz., the WT10G, that it is possible to modify the PageRanks of the web pages through the proposed method using a set of linear constraints. It is also shown that the PageRank of other pages may be affected; and that the quality of the result depends on the clustering technique used. It is shown that our results compared well with those obtained by a HITS based method.