@inproceedings{wodzicki2009proper,
  abstract = {Research on transactive memory systems has shown the importance of knowledge about who knows what. Going beyond the issue of work group settings, the article underlines the importance of such knowledge for finding one's way through today's knowledge society. We discuss how social networking sites can be used to manage individual knowledge networks. Therefore, we describe characteristics of social networking sites resulting in the conclusion that user profiles serve as a base for an external transactive memory system. Furthermore, we draw attention to the perspective of the individual users and the functions that user profiles have for them. This leads to guiding propositions how to improve the implementation of user profiles for establishing and maintaining an useful external transactive memory system.},
  added-at = {2009-10-01T12:25:50.000+0200},
  address = {Berlin/Heidelberg},
  author = {Wodzicki, Katrin and Schwaemmlein, Eva and Cress, Ulrike},
  biburl = {http://www.bibsonomy.org/bibtex/208a0d0bcbf1042ce668bf6b5176cb305/brusilovsky},
  booktitle = {Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009},
  editor = {Cress, U. and Dimitrova, V. and Specht, M.},
  interhash = {5d5b069f26bb034fcf54299b2515afbd},
  intrahash = {08a0d0bcbf1042ce668bf6b5176cb305},
  keywords = {ectel09 social-network user-profile},
  month = {October},
  paperid = {1085},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2009-10-01T12:25:50.000+0200},
  title = {How to Get Proper Profiles? Psychological Perspective on Social Networking Sites},
  topic = {Short Papers},
  volume = 5794,
  year = 2009
}

@misc{citeulike:685333,
  abstract = {Recent advances in graph-based search techniques derived from Kleinberg's work
[1] have been impressive. This paper further improves the graph-based search algo-
rithm in two dimensions. Firstly, variants of Kleinberg's techniques do not take into
account the semantics of the query string nor of the nodes being searched. As a result,
polysemy of query words cannot be resolved. This paper presents an interactive query
scheme utilizing the simple web ontology provided by the Open Directory...},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Tanudjaja, F. and Mui, L.},
  biburl = {http://www.bibsonomy.org/bibtex/236f22782ea66f1cb951faea20690cf9c/brusilovsky},
  citeulike-article-id = {685333},
  interhash = {810d9c64998dad532f131761e7dded07},
  intrahash = {36f22782ea66f1cb951faea20690cf9c},
  keywords = {adaptive-search adaptive-web user-profile},
  posted-at = {2006-06-05 23:41:46},
  priority = {4},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Persona: A contextualized and personalized Web search},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.3021},
  year = 2002
}

@misc{citeulike:674974,
  abstract = {As the competition of Web search market increases, there
is a high demand for personalized Web search to conduct
retrieval incorporating Web users' information needs. This
paper focuses on utilizing clickthrough data to improve Web
search. Since millions of searches are conducted everyday,
a search engine accumulates a large volume of clickthrough
data, which records who submits queries and which pages
he/she clicks on. The clickthrough data is highly sparse and
contains di\#erent types of...},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Sun, J. and Zeng, H. and Liu, H. and Lu, Y. and Chen, Z.},
  biburl = {http://www.bibsonomy.org/bibtex/2fbfa7f20379bfbb48e11d8f66ce50e55/brusilovsky},
  citeulike-article-id = {674974},
  interhash = {c77b2e3e6d758765d81776aeaf86dbfc},
  intrahash = {fbfa7f20379bfbb48e11d8f66ce50e55},
  keywords = {adaptive-search adaptive-web user-profile},
  posted-at = {2006-06-05 23:52:26},
  priority = {2},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Cubesvd: A novel approach to personalized web search},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.1842},
  year = 2005
}

@inproceedings{citeulike:266087,
  abstract = {The publicly indexable Web contains an estimated 800 million
pages, however it is estimated that the largest search engine
contains only 300 million of these pages. As the number of
Internet users and the number of accessible Web pages grows, it
is becoming increasingly difficult for users to find documents
that are relevant to their particular needs. Often users must
browse through a large hierarchy of categories to find the
information for which they are looking. To provide the user with
the...},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Chaffee, Jason and Gauch, Susan},
  biburl = {http://www.bibsonomy.org/bibtex/28445bcd8702b06128d4e04ea93430a59/brusilovsky},
  booktitle = {CIKM},
  citeulike-article-id = {266087},
  interhash = {2f3e66cfb5867ee79cca608deccace75},
  intrahash = {8445bcd8702b06128d4e04ea93430a59},
  keywords = {adaptive-web ontology user-profile},
  pages = {227--234},
  posted-at = {2006-06-06 00:57:38},
  priority = {2},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Personal Ontologies for Web Navigation},
  url = {http://citeseer.ist.psu.edu/chaffee00personal.html},
  year = 2000
}

@inproceedings{citeulike:685449,
  abstract = {The Open Directory Project is clearly one of the largest collaborative efforts to manually annotate web pages. This effort involves over 65,000 editors and resulted in metadata specifying topic and importance for more than 4 million web pages. Still, given that this number is just about 0.05 percent of the Web pages indexed by Google, is this effort enough to make a difference? In this paper we discuss how these metadata can be exploited to achieve high quality personalized web search. First, we address this by introducing an additional criterion for web page ranking, namely the distance between a user profile defined using ODP topics and the sets of ODP topics covered by each URL returned in regular web search. We empirically show that this enhancement yields better results than current web search using Google. Then, in the second part of the paper, we investigate the boundaries of biasing PageRank on subtopics of the ODP in order to automatically extend these metadata to the whole web.},
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Chirita, Paul A. and Nejdl, Wolfgang and Paiu, Raluca and Kohlsch\&\#252;tter, Christian},
  biburl = {http://www.bibsonomy.org/bibtex/2d4785a365a67a0944b65354c76d13c87/brusilovsky},
  booktitle = {SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval},
  citeulike-article-id = {685449},
  doi = {10.1145/1076034.1076067},
  interhash = {2d1ac83898547cff44ecde5dfc2c72a4},
  intrahash = {d4785a365a67a0944b65354c76d13c87},
  isbn = {1595930345},
  keywords = {adaptive-search en ontology user-profile www-search},
  pages = {178--185},
  posted-at = {2006-06-06 01:06:51},
  priority = {2},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Using ODP metadata to personalize search},
  url = {http://dx.doi.org/10.1145/1076034.1076067},
  year = 2005
}

@article{citeulike:576263,
  abstract = {SiteIF is a personal agent for a bilingual news web site that learns user's interests from the requested pages. In this paper we propose to use a word sense based document representation as a starting point to build a model of the user's interests. Documents passed over are processed and relevant senses (disambiguated over WordNet) are extracted and then combined to form a semantic network. A filtering procedure dynamically predicts new documents on the basis of the semantic network.
There are two main advantages of a sense-based approach: first, the model predictions, being based on senses rather than words, are more accurate; second, the model is language independent, allowing navigation in multilingual sites. We report the results of a comparative experiment that has been carried out to give a quantitative estimation of these improvements.},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Magnini, Bernardo and Strapparava, Carlo},
  biburl = {http://www.bibsonomy.org/bibtex/2c1e0e092c775e89fef5e32786c3c2bb0/brusilovsky},
  citeulike-article-id = {576263},
  doi = {http://dx.doi.org/10.1023/B:USER.0000028980.13669.44},
  interhash = {3d1e0227302c64f780a173687ecb5634},
  intrahash = {c1e0e092c775e89fef5e32786c3c2bb0},
  journal = {User Modeling and User-Adapted Interaction},
  keywords = {news user-profile},
  month = {June},
  number = {2-3},
  pages = {239--257},
  posted-at = {2006-06-06 20:38:46},
  priority = {2},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {User Modelling for News Web Sites with Word Sense Based Techniques},
  url = {http://dx.doi.org/http://dx.doi.org/10.1023/B:USER.0000028980.13669.44},
  volume = 14,
  year = 2004
}

@article{citeulike:278123,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Kelly, Diane and Teevan, Jaime},
  biburl = {http://www.bibsonomy.org/bibtex/251292c78d76f5461371784280b7ff1c5/brusilovsky},
  citeulike-article-id = {278123},
  doi = {10.1145/959258.959260},
  interhash = {5de86ba3592b0d544c0a336cc7468a7b},
  intrahash = {51292c78d76f5461371784280b7ff1c5},
  issn = {0163-5840},
  journal = {SIGIR Forum},
  keywords = {implicit-feedback information-retrieval user-profile},
  number = 2,
  pages = {18--28},
  posted-at = {2006-06-06 21:04:12},
  priority = {2},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Implicit feedback for inferring user preference: a bibliography},
  url = {http://dx.doi.org/10.1145/959258.959260},
  volume = 37,
  year = 2003
}

@article{citeulike:397289,
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Flesca, Sergio and Greco, Sergio and Tagarelli, Andrea and Zumpano, Ester},
  biburl = {http://www.bibsonomy.org/bibtex/2724c9dda5bb43c41e0a129ea8b7190c8/brusilovsky},
  citeulike-article-id = {397289},
  doi = {10.1007/s11280-005-1315-9},
  interhash = {b59ae84e9f454f1c584cf5f68a9a737f},
  intrahash = {724c9dda5bb43c41e0a129ea8b7190c8},
  issn = {1386-145X},
  journal = {World Wide Web},
  keywords = {personalization usage-mining user-profile},
  month = {September},
  number = 3,
  pages = {317--345},
  posted-at = {2006-06-06 21:05:20},
  priority = {2},
  publisher = {Kluwer Academic Publishers},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Mining User Preferences, Page Content and Usage to Personalize Website Navigation},
  url = {http://dx.doi.org/10.1007/s11280-005-1315-9},
  volume = 8,
  year = 2005
}

@inproceedings{citeulike:380030,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Liu, Fang and Yu, Clement and Meng, Weiyi},
  biburl = {http://www.bibsonomy.org/bibtex/2d5197251b456325659aceb68eb2032bc/brusilovsky},
  booktitle = {CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management},
  citeulike-article-id = {380030},
  doi = {10.1145/584792.584884},
  interhash = {58f9b50b7c99258fc7437363d1ca5e0c},
  intrahash = {d5197251b456325659aceb68eb2032bc},
  isbn = {1581134924},
  keywords = {adaptive-search adaptive-web user-profile},
  pages = {558--565},
  posted-at = {2006-06-06 21:12:45},
  priority = {4},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Personalized web search by mapping user queries to categories},
  url = {http://dx.doi.org/10.1145/584792.584884},
  year = 2002
}

@misc{citeulike:691964,
  abstract = {. We present an intelligent agent designed to compile a daily news program for
individual users. Based on feedback from the user, the system automatically adapts to the

user's preferences and interests. In this paper we focus on the system's user modeling
component. First, we motivate the use of a multi-strategy machine learning approach that
allows for the induction of user models that consist of separate models for long-term and
short-term interests. Second, we investigate the utility of...},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Billsus, D. and Pazzani, M.},
  biburl = {http://www.bibsonomy.org/bibtex/2dabd533974af3a65a5341dbfce45dbf3/brusilovsky},
  citeulike-article-id = {691964},
  interhash = {bcbdb18ec951b71176e9740c6e79596b},
  intrahash = {dabd533974af3a65a5341dbfce45dbf3},
  keywords = {classification news recommender user-profile},
  posted-at = {2006-06-10 21:57:08},
  priority = {0},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {A Hybrid User Model for News Story Classification},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.8942},
  year = 1999
}

@misc{citeulike:691966,
  abstract = {We present a framework for adaptive news access, based on machine learning techniques
specically designed for this task. First, we focus on the system's general functionality
and system architecture.We then describe the interface and design of two deployed news agents
that are part of the described architecture. While the rst agent provides personalized news
through a web-based interface, the second system is geared towards wireless information devices
such as PDAs (personal digital assistants) ...},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Billsus, D. and Pazzani, M.},
  biburl = {http://www.bibsonomy.org/bibtex/2d5bcedb7b1c75f627b02d97266071f18/brusilovsky},
  citeulike-article-id = {691966},
  interhash = {176f415b93c367b2816c0467e377d753},
  intrahash = {d5bcedb7b1c75f627b02d97266071f18},
  keywords = {news personalization recommender user-profile},
  posted-at = {2006-06-10 21:58:20},
  priority = {2},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {User Modeling for Adaptive News Access},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.4426},
  year = 2000
}

@article{citeulike:395972,
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Hatala, Marek and Wakkary, Ron},
  biburl = {http://www.bibsonomy.org/bibtex/2c92ec3c2508ba152c7642bc856293d72/brusilovsky},
  citeulike-article-id = {395972},
  doi = {10.1007/s11257-005-2304-5},
  interhash = {b15a72267fb9d8b80a4d3f484a0c32e2},
  intrahash = {c92ec3c2508ba152c7642bc856293d72},
  issn = {0924-1868},
  journal = {User Modeling and User-Adapted Interaction},
  keywords = {museum ontology user-model user-profile},
  month = {August},
  number = {3-4},
  pages = {339--380},
  posted-at = {2006-08-24 16:17:39},
  priority = {2},
  publisher = {Kluwer Academic Publishers},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Ontology-Based User Modeling in an Augmented Audio Reality System for Museums},
  url = {http://dx.doi.org/10.1007/s11257-005-2304-5},
  volume = 15,
  year = 2005
}

@inproceedings{citeulike:710692,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Bonhard, Philip and Harries, Clare and Mccarthy, John and Sasse, Angela M.},
  biburl = {http://www.bibsonomy.org/bibtex/2a2f608b6612797c29020cf75e9daa75f/brusilovsky},
  booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems},
  citeulike-article-id = {710692},
  doi = {10.1145/1124772.1124930\%3C},
  interhash = {bf365cc2e95dcbdfd0c97ab53f476b96},
  intrahash = {a2f608b6612797c29020cf75e9daa75f},
  isbn = {1595933727},
  keywords = {recommender user-profile},
  pages = {1057--1066},
  posted-at = {2006-08-25 17:01:12},
  priority = {2},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Accounting for taste: using profile similarity to improve recommender systems},
  url = {http://dx.doi.org/10.1145/1124772.1124930\%3C},
  year = 2006
}

@article{citeulike:892552,
  abstract = {Digital libraries (DLs) have become one of the most typical ways of accessing any kind of digitalized information. Due to this key role, users welcome any improvements on the services they receive from DLs. One trend used to improve digital services is through personalization. Up to now, the most common approach for personalization in DLs has been user driven. Nevertheless, the design of efficient personalized services has to be done, at least in part, in an automatic way. In this context, machine learning techniques automate the process of constructing user models. This paper proposes a new approach to construct DLs that satisfy a user's necessity for information: Adaptive DLs, libraries that automatically learn user preferences and goals and personalize their interaction using this information.},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Frias-Martinez, E. and Magoulas, G. and Chen, S. and Macredie, R.},
  biburl = {http://www.bibsonomy.org/bibtex/2b10a4fa9183c6cb5ab7f793a218a42f5/brusilovsky},
  citeulike-article-id = {892552},
  doi = {10.1016/j.ijinfomgt.2006.02.006},
  interhash = {c0ddaca8b3dfaf75c2f89cf6f43e1201},
  intrahash = {b10a4fa9183c6cb5ab7f793a218a42f5},
  journal = {International Journal of Information Management},
  keywords = {digital-library en user-profile},
  month = {June},
  number = 3,
  pages = {234--248},
  posted-at = {2006-12-26 23:12:17},
  priority = {3},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Automated user modeling for personalized digital libraries},
  url = {http://dx.doi.org/10.1016/j.ijinfomgt.2006.02.006},
  volume = 26,
  year = 2006
}

@article{citeulike:789088,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Dumais, Susan and Joachims, Thorsten and Bharat, Krishna and Weigend, Andreas},
  biburl = {http://www.bibsonomy.org/bibtex/2a93e13bddf45aec29556f69c6ea06c9c/brusilovsky},
  citeulike-article-id = {789088},
  doi = {10.1145/959258.959266},
  interhash = {e8d787d452cdb14e5c4c22407f79292f},
  intrahash = {a93e13bddf45aec29556f69c6ea06c9c},
  issn = {0163-5840},
  journal = {SIGIR Forum},
  keywords = {implicit-feedback user-profile},
  number = 2,
  pages = {50--54},
  posted-at = {2007-02-03 15:13:53},
  priority = {2},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {SIGIR 2003 workshop report: implicit measures of user interests and preferences},
  url = {http://dx.doi.org/10.1145/959258.959266},
  volume = 37,
  year = 2003
}

@article{citeulike:1052648,
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Rosaci, Domenico and Sarne, Giuseppe},
  biburl = {http://www.bibsonomy.org/bibtex/2b6117fc6c20bf9d528a92cb4cfd4bdb4/brusilovsky},
  citeulike-article-id = {1052648},
  doi = {10.1007/s11257-006-9015-4},
  interhash = {0a67ad53e612b7f89ed9ef17bc513c5b},
  intrahash = {b6117fc6c20bf9d528a92cb4cfd4bdb4},
  issn = {0924-1868},
  journal = {User Modeling and User-Adapted Interaction},
  keywords = {adaptive-web-site context user-profile},
  month = {December},
  number = 5,
  pages = {435--462},
  posted-at = {2007-02-20 01:54:24},
  priority = {2},
  publisher = {Springer},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {MASHA: A multi-agent system handling user and device adaptivity of Web sites},
  url = {http://dx.doi.org/10.1007/s11257-006-9015-4},
  volume = 16,
  year = 2006
}

@article{citeulike:1217951,
  abstract = {Current Web search engines are built to serve all users, independent of the special needs of any individual user. Personalization of Web search is to carry out retrieval for each user incorporating his/her interests. We propose a novel technique to learn user profiles from users' search histories. The user profiles are then used to improve retrieval effectiveness in Web search. A user profile and a general profile are learned from the user's search history and a category hierarchy, respectively. These two profiles are combined to map a user query into a set of categories which represent the user's search intention and serve as a context to disambiguate the words in the user's query. Web search is conducted based on both the user query and the set of categories. Several profile learning and category mapping algorithms and a fusion algorithm are provided and evaluated. Experimental results indicate that our technique to personalize Web search is both effective and efficient.},
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {Piscataway, NJ, USA},
  author = {Liu, Fang and Yu, Clement and Meng, Weiyi},
  biburl = {http://www.bibsonomy.org/bibtex/2bf8f043142faf6f82b57b18b1f9c37cb/brusilovsky},
  citeulike-article-id = {1217951},
  doi = {10.1109/TKDE.2004.1264820},
  interhash = {f032e46c63ddc5315fb7b219becb447a},
  intrahash = {bf8f043142faf6f82b57b18b1f9c37cb},
  issn = {1041-4347},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  keywords = {adaptive-search en user-profile},
  month = {January},
  number = 1,
  pages = {28--40},
  posted-at = {2007-05-01 03:10:54},
  priority = {2},
  publisher = {IEEE Educational Activities Department},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Personalized Web Search For Improving Retrieval Effectiveness},
  url = {http://dx.doi.org/10.1109/TKDE.2004.1264820},
  volume = 16,
  year = 2004
}

@inproceedings{citeulike:1286328,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Ahn, Jae-Wook and Brusilovsky, Peter and Grady, Jonathan and He, Daqing and Syn, Sue Y.},
  biburl = {http://www.bibsonomy.org/bibtex/2710682ddd9ed2c9bd517b8e6844ba0f2/brusilovsky},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  citeulike-article-id = {1286328},
  doi = {10.1145/1242572.1242575},
  interhash = {3e3908b7a9417928e2b23a697fa64b10},
  intrahash = {710682ddd9ed2c9bd517b8e6844ba0f2},
  isbn = {9781595936547},
  keywords = {adaptive-filtering news open-user-model recommender user-profile},
  pages = {11--20},
  posted-at = {2007-05-09 21:07:46},
  priority = {0},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Open user profiles for adaptive news systems: help or harm?},
  url = {http://dx.doi.org/10.1145/1242572.1242575},
  year = 2007
}

@article{citeulike:1116158,
  abstract = {Web search engines typically provide search results without considering user interests or context. We propose a personalized search approach that can easily extend a conventional search engine on the client side. Our mapping framework automatically maps a set of known user interests onto a group of categories in the Open Directory Project (ODP) and takes advantage of manually edited data available in ODP for training text classifiers that correspond to, and therefore categorize and personalize search results according to user interests. In two sets of controlled experiments, we compare our personalized categorization system (PCAT) with a list interface system (LIST) that mimics a typical search engine and with a nonpersonalized categorization system (CAT). In both experiments, we analyze system performances on the basis of the type of task and query length. We find that PCAT is preferable to LIST for information gathering types of tasks and for searches with short queries, and PCAT outperforms CAT in both information gathering and finding types of tasks, and for searches associated with free-form queries. From the subjects' answers to a questionnaire, we find that PCAT is perceived as a system that can find relevant Web pages quicker and easier than LIST and CAT.},
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Ma, Zhongming and Pant, Gautam and Olivia},
  biburl = {http://www.bibsonomy.org/bibtex/25892feb3f219c713dc5293f2bdf10fa9/brusilovsky},
  citeulike-article-id = {1116158},
  doi = {10.1145/1198296.1198301},
  interhash = {d5a0f81a76a987980b60b580e1872da7},
  intrahash = {5892feb3f219c713dc5293f2bdf10fa9},
  issn = {1046-8188},
  journal = {ACM Trans. Inf. Syst.},
  keywords = {adaptive-search adaptive-web personalization user-profile},
  month = {February},
  number = 1,
  posted-at = {2007-05-12 05:45:42},
  priority = {3},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {Interest-based personalized search},
  url = {http://dx.doi.org/10.1145/1198296.1198301},
  volume = 25,
  year = 2007
}

@inproceedings{citeulike:768267,
  added-at = {2009-07-01T11:12:30.000+0200},
  address = {New York, NY, USA},
  author = {Widyantoro, Dwi H. and Ioerger, Thomas R. and Yen, John},
  biburl = {http://www.bibsonomy.org/bibtex/28e8c1537f21b3027f9567f9ab89ce2ce/brusilovsky},
  booktitle = {CIKM '99: Proceedings of the eighth international conference on Information and knowledge management},
  citeulike-article-id = {768267},
  doi = {10.1145/319950.323230},
  interhash = {0be5f4e348ad95ef79cef5e1bdb635b3},
  intrahash = {8e8c1537f21b3027f9567f9ab89ce2ce},
  isbn = {1581131461},
  keywords = {news personalization user-profile},
  month = {November},
  pages = {405--412},
  posted-at = {2007-05-12 05:49:30},
  priority = {2},
  publisher = {ACM Press},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {An adaptive algorithm for learning changes in user interests},
  url = {http://dx.doi.org/10.1145/319950.323230},
  year = 1999
}