Nonlinear differential equations and dynamical systems
Nonlinear differential equations and dynamical systems
Information retrieval
Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Variations in relevance assessments and the measurement of retrieval effectiveness
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Proceedings of the 11th international conference on World Wide Web
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Web Structure, Dynamics and Page Quality
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Extrapolation methods for accelerating PageRank computations
WWW '03 Proceedings of the 12th international conference on World Wide Web
Adaptive on-line page importance computation
WWW '03 Proceedings of the 12th international conference on World Wide Web
A new paradigm for ranking pages on the world wide web
WWW '03 Proceedings of the 12th international conference on World Wide Web
WWW '03 Proceedings of the 12th international conference on World Wide Web
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Impact of search engines on page popularity
Proceedings of the 13th international conference on World Wide Web
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Computing pagerank in a distributed internet search system
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Objectrank: authority-based keyword search in databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Shuffling a stacked deck: the case for partially randomized ranking of search engine results
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Beyond PageRank: machine learning for static ranking
Proceedings of the 15th international conference on World Wide Web
BuzzRank … and the trend is your friend
Proceedings of the 15th international conference on World Wide Web
Evolution of page popularity under random web graph models
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Can social bookmarking enhance search in the web?
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Algorithms and incentives for robust ranking
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Extracting accurate and complete results from search engines: Case study windows live
Journal of the American Society for Information Science and Technology
DistanceRank: An intelligent ranking algorithm for web pages
Information Processing and Management: an International Journal
A punishment/reward based approach to ranking
Proceedings of the 2nd international conference on Scalable information systems
Association-based dynamic computation of reputation in web services
International Journal of Web and Grid Services
Representing and Quantifying Rank - Change for the Web Graph
Algorithms and Models for the Web-Graph
Can people collaborate to improve the relevance of search results?
Proceedings of the 2008 ACM conference on Recommender systems
Quality Evaluation of Search Results by Typicality and Speciality of Terms Extracted from Wikipedia
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Comparing the performance of us college football teams in the web and on the field
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Leveraging temporal dynamics of document content in relevance ranking
Proceedings of the third ACM international conference on Web search and data mining
Towards recency ranking in web search
Proceedings of the third ACM international conference on Web search and data mining
Promotional ranking of search engine results: giving new web pages a chance to prove their values
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Towards improving web search by utilizing social bookmarks
ICWE'07 Proceedings of the 7th international conference on Web engineering
Optimizing web structures using web mining techniques
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Estimating number of citations using author reputation
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
On popularity quality: growth and decay phases of publication popularities
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Freshness matters: in flowers, food, and web authority
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Learning recurrent event queries for web search
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Web site traffic ranking estimation via SVM
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
Time-weighted web authoritative ranking
Information Retrieval
Enhancing credibility judgment of web search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extracting and ranking relevant terms of personalized search query
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Evaluating credibility of web information
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Using web archive for improving search engine results
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Proceedings of the fifth ACM international conference on Web search and data mining
A link-based ranking model for services
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Clustering and load balancing optimization for redundant content removal
Proceedings of the 21st international conference companion on World Wide Web
International Journal of Business Intelligence and Data Mining
Improving large-scale search engines with semantic annotations
Expert Systems with Applications: An International Journal
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In a number of recent studies [4, 8] researchers have found that because search engines repeatedly return currently popular pages at the top of search results, popular pages tend to get even more popular, while unpopular pages get ignored by an average user. This "rich-get-richer" phenomenon is particularly problematic for new and high-quality pages because they may never get a chance to get users' attention, decreasing the overall quality of search results in the long run. In this paper, we propose a new ranking function, called page quality that can alleviate the problem of popularity-based ranking. We first present a formal framework to study the search engine bias by discussing what is an "ideal" way to measure the intrinsic quality of a page. We then compare how PageRank, the current ranking metric used by major search engines, differs from this ideal quality metric. This framework will help us investigate the search engine bias in more concrete terms and provide clear understanding why PageRank is effective in many cases and exactly when it is problematic. We then propose a practical way to estimate the intrinsic page quality to avoid the inherent bias of PageRank. We derive our proposed quality estimator through a careful analysis of a reasonable web user model, and we present experimental results that show the potential of our proposed estimator. We believe that our quality estimator has the potential to alleviate the rich-get-richer phenomenon and help new and high-quality pages get the attention that they deserve.