GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
interactions
Silk from a sow's ear: extracting usable structures from the Web
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The probability ranking principle in IR
Readings in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
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The order of things: activity-centered information access
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Footprints: history-rich tools for information foraging
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On Relevance, Probabilistic Indexing and Information Retrieval
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Authoritative sources in a hyperlinked environment
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Analysis of a very large web search engine query log
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Agglomerative clustering of a search engine query log
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Analysis of recommendation algorithms for e-commerce
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Ranking retrieval systems without relevance judgments
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Introduction to Modern Information Retrieval
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Optimizing search engines using clickthrough data
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Display time as implicit feedback: understanding task effects
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Simple BM25 extension to multiple weighted fields
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Optimizing web search using web click-through data
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Evaluating implicit measures to improve web search
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Context-sensitive information retrieval using implicit feedback
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Accurately interpreting clickthrough data as implicit feedback
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Learning to rank using gradient descent
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Beyond PageRank: machine learning for static ranking
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Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
High accuracy retrieval with multiple nested ranker
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to rank networked entities
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Mining long-term search history to improve search accuracy
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Identifying "best bet" web search results by mining past user behavior
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Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
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Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Leveraging popular destinations to enhance Web search interaction
ACM Transactions on the Web (TWEB)
Modeling multi-step relevance propagation for expert finding
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Efficient multiple-click models in web search
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Quicklink selection for navigational query results
Proceedings of the 18th international conference on World wide web
Automatically Maintained Domain Knowledge: Initial Findings
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
BBM: bayesian browsing model from petabyte-scale data
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Mining rich session context to improve web search
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Modeling and predicting user behavior in sponsored search
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Entropy-biased models for query representation on the click graph
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Effective query expansion for federated search
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Information Technology and Management
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
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Feature engineering on event-centric surrogate documents to improve search results
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Web Spam Identification with User Browsing Graph
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Mining search engine clickthrough log for matching N-gram features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
A characterization of online browsing behavior
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Automatic extraction of clickable structured web contents for name entity queries
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Sampling high-quality clicks from noisy click data
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Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Parallel browsing behavior on the web
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Studying trailfinding algorithms for enhanced web search
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Assessing the scenic route: measuring the value of search trails in web logs
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Mining Historic Query Trails to Label Long and Rare Search Engine Queries
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Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
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Result enrichment in commerce search using browse trails
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Action prediction and identification from mining temporal user behaviors
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Incorporating web browsing activities into anchor texts for web search
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The framework of a people recommender based on a time series of user preferences
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The early-adopter graph and its application to web-page recommendation
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Task tours: helping users tackle complex search tasks
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Structured query reformulations in commerce search
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Extracting interesting association rules from toolbar data
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Learning activity sharing and individualized recommendation based on dynamical correlation discovery
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Absence time and user engagement: evaluating ranking functions
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User correlation discovery and dynamical profiling based on social streams
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Intent-Based browse activity segmentation
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Beliefs and biases in web search
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Annotation for free: video tagging by mining user search behavior
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Through-the-looking glass: utilizing rich post-search trail statistics for web search
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Towards simulation-based similarity of end user browsing processes
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Personal and Ubiquitous Computing
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The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that user interactions with search engines can be employed to improve document ranking, browsing behavior that occurs beyond search result pages has been largely overlooked in prior work. The paper demonstrates that users' post-search browsing activity strongly reflects implicit endorsement of visited pages, which allows estimating topical relevance of Web resources by mining large-scale datasets of search trails. We present heuristic and probabilistic algorithms that rely on such datasets for suggesting authoritative websites for search queries. Experimental evaluation shows that exploiting complete post-search browsing trails outperforms alternatives in isolation (e.g., clickthrough logs), and yields accuracy improvements when employed as a feature in learning to rank for Web search.