Interaction in information retrieval: selection and effectiveness of search terms
Journal of the American Society for Information Science
Analysis of a very large web search engine query log
ACM SIGIR Forum
Predictive caching and prefetching of query results in search engines
WWW '03 Proceedings of the 12th international conference on World Wide Web
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Knowledge and Data Engineering
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
ACM Transactions on Information Systems (TOIS)
The impact of caching on search engines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Search shortcuts: a new approach to the recommendation of queries
Proceedings of the third ACM conference on Recommender systems
The Probabilistic Relevance Framework: BM25 and Beyond
Foundations and Trends in Information Retrieval
Time filtering for better recommendations with small and sparse rating matrices
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Identifying task-based sessions in search engine query logs
Proceedings of the fourth ACM international conference on Web search and data mining
On caching search engine query results
Computer Communications
When entities meet query recommender systems: semantic search shortcuts
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Europeana is a long-term project funded by the European Commission with the goal of making Europe's cultural and scientific heritage accessible to the public. Since 2008, about 1500 institutions have contributed to Europeana, enabling people to explore the digital resources of Europe's museums, libraries and archives. The huge amount of collected multi-lingual multi-media data is made available today through the Europeana portal, a search engine allowing users to explore such content through textual queries. One of the most important techniques for enhancing users search experience in large information spaces, is the exploitation of the knowledge contained in query logs. In this paper we present a characterization of the Europeana query log, showing statistics on common behavioral patterns of the Europeana users. Our analysis highlights some significative differences between the Europeana query log and the historical data collected by general purpose Web Search Engine logs. In particular, we find out that both query and search session distributions show different behaviors. Finally, we use this information for designing a query recommendation technique having the goal of enhancing the functionality of the Europeana portal.