Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Time frames: temporal augmentation of the news
IBM Systems Journal
Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
On the value of temporal information in information retrieval
ACM SIGIR Forum
Improving Temporal Language Models for Determining Time of Non-timestamped Documents
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Leveraging temporal dynamics of document content in relevance ranking
Proceedings of the third ACM international conference on Web search and data mining
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
Mining query subtopics from search log data
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Selecting labels for news document clusters
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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Clustering of search results is an important feature in many of today's information retrieval applications. The notion of hit list clustering appears in Web search engines and enterprise search engines as a mechanism that allows users to further explore the coverage of a query. However, there has been little work on exposing temporal attributes for constructing and presentation of clusters. These attributes appear in documents as part of the textual content, e.g., as a date and time token or as a temporal reference in a sentence. In this paper, we outline a model and describe a prototype that shows the main ideas.