Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Reinforcing Web-object Categorization Through Interrelationships
Data Mining and Knowledge Discovery
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
A comparison of implicit and explicit links for web page classification
Proceedings of the 15th international conference on World Wide Web
Detecting semantic cloaking on the web
Proceedings of the 15th international conference on World Wide Web
The query-vector document model
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A reference collection for web spam
ACM SIGIR Forum
Identifying ambiguous queries in web search
Proceedings of the 16th international conference on World Wide Web
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Know your neighbors: web spam detection using the web topology
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Quantify query ambiguity using ODP metadata
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring search behaviors using partially observable Markov (POM) model
Proceedings of the third ACM international conference on Web search and data mining
Temporal query log profiling to improve web search ranking
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Coniunge et impera: multiple-graph mining for query-log analysis
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Foundations and Trends in Information Retrieval
Identifying Web Spam with the Wisdom of the Crowds
ACM Transactions on the Web (TWEB)
Metaphor: a system for related search recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
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Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them. This feedback is encoded in the form of a query log that consists of a sequence of search actions, one per user query, each describing the following information: (i) terms composing a query, (ii) documents returned by the search engine, (iii) documents that have been clicked, (iv) the rank of those documents in the list of results, (v) date and time of the search action/click, (vi) an anonymous identifier for each session, and more. In this work, we investigate the idea of characterizing the documents and the queries belonging to a given query log with the goal of improving algorithms for detecting spam, both at the document level and at the query level.