@inproceedings{stumme2004iceberg,
  address = {Heidelberg},
  author = {Stumme, Gerd},
  booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)},
  comment = {alpha},
  editor = {Wolff, Karl Erich and Pfeiffer, Heather D. and Delugach, Harry S.},
  interhash = {5e81311b4e69d49a2f0aa7cd3f52b21d},
  intrahash = {70b05439d41b24c2476e9eba1f74ec87},
  pages = {109-125},
  publisher = {Springer},
  series = {LNCS},
  title = {Iceberg Query Lattices for Datalog},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf},
  volume = 3127,
  year = 2004
}

@inproceedings{zhao2006timedependent,
  abstract = {It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of click-through data logged by Web search engines, which record the interactions between users and the search engines. Most existing approaches employ the click-through data for similarity measure of queries with little consideration of the temporal factor, while the click-through data is often dynamic and contains rich temporal information. In this paper we present a new framework of time-dependent query semantic similarity model on exploiting the temporal characteristics of historical click-through data. The intuition is that more accurate semantic similarity values between queries can be obtained by taking into account the timestamps of the log data. With a set of user-defined calendar schema and calendar patterns, our time-dependent query similarity model is constructed using the marginalized kernel technique, which can exploit both explicit similarity and implicit semantics from the click-through data effectively. Experimental results on a large set of click-through data acquired from a commercial search engine show that our time-dependent query similarity model is more accurate than the existing approaches. Moreover, we observe that our time-dependent query similarity model can, to some extent, reflect real-world semantics such as real-world events that are happening over time.},
  address = {New York, NY, USA},
  author = {Zhao, Qiankun and Hoi, Steven C. H. and Liu, Tie-Yan and Bhowmick, Sourav S. and Lyu, Michael R. and Ma, Wei-Ying},
  booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
  doi = {10.1145/1135777.1135858},
  interhash = {c765e101c37f6b530e2c1c59808048d7},
  intrahash = {57cbc64550d3a1b5b8599a0783e95111},
  isbn = {1-59593-323-9},
  location = {Edinburgh, Scotland},
  pages = {543--552},
  publisher = {ACM},
  title = {Time-dependent semantic similarity measure of queries using historical click-through data},
  url = {http://portal.acm.org/citation.cfm?id=1135777.1135858},
  year = 2006
}

@inproceedings{stumme2004iceberg,
  address = {Heidelberg},
  author = {Stumme, Gerd},
  booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)},
  comment = {alpha},
  editor = {Wolff, Karl Erich and Pfeiffer, Heather D. and Delugach, Harry S.},
  interhash = {5e81311b4e69d49a2f0aa7cd3f52b21d},
  intrahash = {70b05439d41b24c2476e9eba1f74ec87},
  pages = {109-125},
  publisher = {Springer},
  series = {LNCS},
  title = {Iceberg Query Lattices for Datalog},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf},
  volume = 3127,
  year = 2004
}

@inproceedings{conf/wsdm/AntonellisGK09,
  author = {Antonellis, Ioannis and Garcia-Molina, Hector and Karim, Jawed},
  booktitle = {WSDM (Late Breaking-Results)},
  crossref = {conf/wsdm/2009},
  date = {2009-03-12},
  editor = {Baeza-Yates, Ricardo A. and Boldi, Paolo and Ribeiro-Neto, Berthier A. and Cambazoglu, Berkant Barla},
  ee = {http://www.wsdm2009.org/wsdm2009_antonellis.pdf},
  interhash = {d7009d789ebc4efe38749a1078a06086},
  intrahash = {70539954a20f7d03a1f21764ff62c0ff},
  isbn = {978-1-60558-390-7},
  publisher = {ACM},
  title = {Tagging with Queries: How and Why?},
  url = {http://dblp.uni-trier.de/db/conf/wsdm/wsdm2009.html#AntonellisGK09},
  year = 2009
}