@book{manning2008,
  author = {Manning, Christopher D. and Raghavan, Prabhakar and Schütze, Hinrich},
  interhash = {2e574e46b7668a7268e7f02b46f4d9bb},
  intrahash = {9f4ab13e07b48b9723113aa74224be65},
  publisher = {Cambridge University Press},
  title = {Introduction to Information Retrieval},
  year = 2008
}

@book{metzler2011featurecentric,
  asin = {3642228976},
  author = {Metzler, Donald},
  dewey = {005},
  ean = {9783642228971},
  edition = 2012,
  interhash = {4e473a9657c556434612d006a5a21460},
  intrahash = {22e5fe8501844167b64a5aed595f4372},
  isbn = {3642228976},
  publisher = {Springer},
  title = {A Feature-Centric View of Information Retrieval},
  url = {http://www.amazon.com/Feature-Centric-View-Information-Retrieval/dp/3642228976},
  year = 2011
}

@book{hearst2009search,
  asin = {0521113792},
  author = {Hearst, Marti A.},
  dewey = {006.7784},
  ean = {9780521113793},
  edition = 1,
  interhash = {a4903a26cab5e66d68595e31a7fa4b2f},
  intrahash = {148875a34f84ca74f51bf0bd5f7a21e1},
  isbn = {0521113792},
  publisher = {Cambridge University Press},
  title = {Search User Interfaces},
  url = {http://searchuserinterfaces.com/book/},
  year = 2009
}

@article{1347495,
  abstract = {In this paper, we propose a common phrase index as an efficient index structure to support phrase queries in a very large text database. Our structure is an extension of previous index structures for phrases and achieves better query efficiency with modest extra storage cost. Further improvement in efficiency can be attained by implementing our index according to our observation of the dynamic nature of common word set. In experimental evaluation, a common phrase index using 255 common words has an improvement of about 11% and 62% in query time for the overall and large queries (queries of long phrases) respectively over an auxiliary nextword index. Moreover, it has only about 19% extra storage cost. Compared with an inverted index, our improvement is about 72% and 87% for the overall and large queries respectively. We also propose to implement a common phrase index with dynamic update feature. Our experiments show that more improvement in time efficiency can be achieved.},
  address = {Tarrytown, NY, USA},
  author = {Chang, Matthew and Poon, Chung Keung},
  doi = {http://dx.doi.org/10.1016/j.ipm.2007.06.003},
  interhash = {e06f855c6e3bea229b8a3962b4ae09ce},
  intrahash = {173b15d1d17a8e122f49b1c640d46b15},
  issn = {0306-4573},
  journal = {Inf. Process. Manage.},
  number = 2,
  pages = {756--769},
  publisher = {Pergamon Press, Inc.},
  title = {Efficient phrase querying with common phrase index},
  url = {http://portal.acm.org/citation.cfm?id=1347495},
  volume = 44,
  year = 2008
}

@book{rijsbergen79information,
  address = {London},
  author = {van Rijsbergen, C. J.},
  edition = 2,
  interhash = {0edccdac9af024f458911b82f61686ab},
  intrahash = {b53893655b48140d4310a848dbf204d3},
  publisher = {Butterworths},
  title = {Information retrieval},
  url = {http://www.dcs.gla.ac.uk/Keith/Preface.html},
  year = 1979
}

@book{books/mk/WittenMB99,
  author = {Witten, Ian H. and Moffat, Alistair and Bell, Timothy C.},
  interhash = {e27de62d31e9665025dc788cb30027d5},
  intrahash = {99a44801fa131f7fda77e769791f5f78},
  isbn = {1-55860-570-3},
  publisher = {Morgan Kaufmann},
  title = {Managing Gigabytes: Compressing and Indexing Documents and Images, Second Edition},
  url = {http://www.cs.mu.oz.au/mg/},
  year = 1999
}

@book{books/aw/Baeza-YatesR99,
  author = {Baeza-Yates, Ricardo A. and Ribeiro-Neto, Berthier A.},
  interhash = {6f78177742b3c836218aacfc7fc4c43c},
  intrahash = {16ab70975f635f8d72de82e2ef3ef9de},
  isbn = {0-201-39829-X},
  publisher = {ACM Press / Addison-Wesley},
  title = {Modern Information Retrieval},
  url = {http://www.ischool.berkeley.edu/~hearst/irbook/glossary.html},
  year = 1999
}

@book{ferber2003information,
  address = {Heidelberg},
  author = {Ferber, Reginald},
  interhash = {52c1b4ab3e818efef6635eb76b778608},
  intrahash = {b60dbc902a2e19877aec154fa5747751},
  publisher = {dpunkt Verlag},
  title = {Information Retrieval: Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web},
  url = {http://information-retrieval.de/},
  year = 2003
}

@book{manning2008,
  author = {Manning, C. D. and Raghavan, P. and Schütze, H.},
  interhash = {2e574e46b7668a7268e7f02b46f4d9bb},
  intrahash = {2588419fae77ef64bd735f4265f7daa5},
  publisher = {Cambridge University Press},
  title = {Introduction to Information Retrieval},
  url = {http://www-csli.stanford.edu/~hinrich/information-retrieval-book.html},
  year = 2008
}

@inproceedings{1390424,
  address = {New York, NY, USA},
  author = {Schenkel, Ralf and Crecelius, Tom and Kacimi, Mouna and Michel, Sebastian and Neumann, Thomas and Parreira, Josiane X. and Weikum, Gerhard},
  booktitle = {SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval},
  doi = {http://doi.acm.org/10.1145/1390334.1390424},
  interhash = {17f7d73a408830fa3a66504e49f7e481},
  intrahash = {1c57b638bb3bee94300d883259774493},
  isbn = {978-1-60558-164-4},
  location = {Singapore, Singapore},
  pages = {523--530},
  publisher = {ACM},
  title = {Efficient top-k querying over social-tagging networks},
  url = {http://portal.acm.org/citation.cfm?id=1390424},
  year = 2008
}

@article{1377474,
  abstract = {Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.},
  address = {Tarrytown, NY, USA},
  author = {Morrison, P. Jason},
  doi = {http://dx.doi.org/10.1016/j.ipm.2007.12.010},
  interhash = {41f042c033417e4dbb9e48b76521363f},
  intrahash = {7e1dc3f52085093cc33d8fe931253b34},
  issn = {0306-4573},
  journal = {Inf. Process. Manage.},
  number = 4,
  pages = {1562--1579},
  publisher = {Pergamon Press, Inc.},
  title = {Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web},
  url = {http://portal.acm.org/citation.cfm?id=1377474},
  volume = 44,
  year = 2008
}

@article{Smeulders00CBIR,
  address = {Washington, DC, USA},
  author = {Smeulders, Arnold W. M. and Worring, Marcel and Santini, Simone and Gupta, Amarnath and Jain, Ramesh},
  citeulike-article-id = {942093},
  doi = {10.1109/34.895972},
  interhash = {ead44ca34c9a120a17c6d1cb757d3b8d},
  intrahash = {ff99ff85fdc2224d826dab75df21cf0d},
  issn = {0162-8828},
  journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
  month = {December},
  number = 12,
  pages = {1349--1380},
  posted-at = {2008-04-13 17:14:20},
  priority = {2},
  publisher = {IEEE Computer Society},
  title = {Content-Based Image Retrieval at the End of the Early Years},
  url = {http://portal.acm.org/citation.cfm?id=357873},
  volume = 22,
  year = 2000
}

@article{datta2008,
  abstract = {We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.},
  author = {Datta, Ritendra and Joshi, Dhiraj and Li, Jia and Wang, James Z.},
  interhash = {6f908ace6a3d5135960dc663d6335922},
  intrahash = {278a48194bc9afbd298c36dd497a9821},
  journal = {ACM Computing Surveys},
  number = 2,
  title = {Image Retrieval: Ideas, Influences, and Trends of the New Age},
  url = {http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/},
  volume = 40,
  year = 2008
}

@article{hotho2007mining,
  author = {Hotho, Andreas and Stumme, Gerd},
  interhash = {26915a205b66368931821165ecaf972c},
  intrahash = {92d3a5fdd786086fa12787e3e350b6af},
  journal = {Künstliche Intelligenz},
  number = 3,
  pages = {5-8},
  title = {Mining the World Wide Web},
  url = {http://kobra.bibliothek.uni-kassel.de/bitstream/urn:nbn:de:hebis:34-2008021320337/3/HothoStummeMiningWWW.pdf},
  vgwort = {20},
  year = 2007
}

@inproceedings{conf/www/SarwarKKR01,
  author = {Sarwar, Badrul M. and Karypis, George and Konstan, Joseph A. and Riedl, John},
  booktitle = {WWW},
  ee = {http://doi.acm.org/10.1145/371920.372071},
  interhash = {043d1aaba0f0b8c01d84edd517abedaf},
  intrahash = {f349b429624935212ebeed613b89794f},
  pages = {285-295},
  title = {Item-based collaborative filtering recommendation algorithms.},
  url = {http://www10.org/cdrom/papers/pdf/p519.pdf},
  year = 2001
}

@article{974906,
  abstract = {Users of online search engines often find it difficult to express their need for information in the form of a query. However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance feedback. Relevance feedback covers a range of techniques intended to improve a user's query and facilitate retrieval of information relevant to a user's information need. In this paper we survey relevance feedback techniques. We study both automatic techniques, in which the system modifies the user's query, and interactive techniques, in which the user has control over query modification. We also consider specific interfaces to relevance feedback systems and characteristics of searchers that can affect the use and success of relevance feedback systems.},
  address = {New York, NY, USA},
  author = {Ruthven, Ian and Lalmas, Mounia},
  doi = {http://dx.doi.org/10.1017/S0269888903000638},
  interhash = {965654547515dda5b340f80c41718ca4},
  intrahash = {0357d6b4d3aa885a0978036d50136373},
  issn = {0269-8889},
  journal = {Knowl. Eng. Rev.},
  number = 2,
  pages = {95--145},
  publisher = {Cambridge University Press},
  title = {A survey on the use of relevance feedback for information access systems},
  url = {http://personal.cis.strath.ac.uk/~ir/papers/ker.pdf},
  volume = 18,
  year = 2003
}

@article{wiley1991,
  address = {Department of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom},
  author = {Peat, Helen J. and Willett, Peter},
  doi = {10.1002/(SICI)1097-4571(199106)42:5<378::AID-ASI8>3.0.CO;2-8},
  interhash = {b3cbc3b9fe13100408c5ef4c2c175b01},
  intrahash = {96cc916a85ed034ea7fa72e4259b9f05},
  journal = {Journal of the American Society for Information Science},
  number = 5,
  pages = {378-383},
  publisher = {Copyright © 1991 John Wiley & Sons, Inc.},
  title = {The limitations of term co-occurrence data for query expansion in document retrieval systems},
  url = {http://www.iro.umontreal.ca/~nie/IFT6255/Peat_Willett_QExp.pdf},
  volume = 42,
  year = 1991
}

@inproceedings{hotho2006information,
  address = {Budva, Montenegro},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Proceedings of the 3rd European Semantic Web Conference },
  interhash = {10ec64d80b0ac085328a953bb494fb89},
  intrahash = {7da1127fc4836e2cf58e3073f1b888b2},
  isbn = {3-540-34544-2},
  month = {June},
  pages = {411-426},
  publisher = {Springer},
  series = {LNCS},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf},
  vgwort = {29},
  volume = 4011,
  year = 2006
}

@article{bloehdorn2006intro,
  author = {Bloehdorn, S. and Buntine, W. and Hotho, A.},
  date = {(2006)},
  editor = {Bloehdorn, S. and Buntine, W. and Hotho, A.},
  institution = {An International Journal of Computing and Informatics},
  interhash = {4a3316f2f66fdfcb45c89bb872a82400},
  intrahash = {e434232b8e3b80ff3b95006432fe54ee},
  issn = {0350-5596},
  journal = {Informatica},
  number = 2,
  pages = {141-141},
  title = {Introduction to the Special Issue 'Learning in Web Search'},
  url = {http://www.informatica.si/PDF/30-2/00_Introduction.pdf},
  volume = 30,
  year = 2006
}

@proceedings{2005-lws-proceedings,
  editor = {Bloehdorn, Stephan and Buntine, Wray and Hotho, Andreas},
  interhash = {940bd83a2753b14159690fde387e3909},
  intrahash = {2de98c2b635f36c137e25256e8c235e0},
  month = AUG,
  note = {Workshop at the 22nd International Conference on Machine Learning (ICML 2005) },
  title = {Proceedings of the Workshop on Learning in Web Search (LWS 2005) },
  url = {http://cosco.hiit.fi/search/learninginsearch05/ICML_W4.pdf},
  year = 2005
}