See this document in CiteSeerX!

Self-Adaptive User Profiles for Large-Scale Data Delivery (2000)  (Make Corrections)  (7 citations)
Ugur Çetintemel, Michael J. Franklin, C. Lee Giles
ICDE



  Home/Search   Context   Related

 
View or download:
umd.edu/~ugur/Papers/icde00.pdf
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  umd.edu/~ugur/papers (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Push-based data delivery requires knowledge of user interests for making scheduling, bandwidth allocation, and routing decisions. Such information is maintained as user profiles. We propose a new incremental algorithm for constructing user profiles based on monitoring and user feedback. In contrast to earlier approaches, which typically represent profiles as a single weighted interest vector, we represent user profiles as multiple interest vectors, whose number, size, and elements change... (Update)

Context of citations to this paper:   More

.... of XML documents (i.e. the XFilter system) AF00] 2) learning and maintaining user profiles based on explicit user feedback [CFG00] and 3) development of a large scale, reliable system for mobile device synchroniz ation [DF00] Data recharging can build upon this work,...

.... it unlikely that most users will write profiles manually (the same could be said for SQL) Instead, we expect that a profile generation system [7] with good interfaces could support users to this end. Such a system could rely on libraries of parameterized profiles that are...

Cited by:   More
A Classification and Evaluation of Data Movement.. - Mattmann, Kelly.. (2006)   (Correct)
User Profile Integration in Knowledge Management Systems - Duflou Hermans Vandermeulen   (Correct)
Profile-Driven Cache Management - Cherniack, Galvez, Franklin, Zdonik   (Correct)

Similar documents (at the sentence level):
42.9%:   Flexible User Profiles for Large Scale Data Delivery - Çetintemel, Franklin, Giles (1999)   (Correct)

Active bibliography (related documents):   More   All
0.1:   Probabilistic Learning for Information Filtering - Amati, Crestani, Ubaldini, al.   (Correct)
0.1:   Evaluating Answer Quality/Efficiency Tradeoffs - Cetintemel, Jónsson..   (Correct)
0.1:   A Framework for Filtering News and Managing Distributed.. - Amati, D'Aloisi.. (1997)   (Correct)

Similar documents based on text:   More   All
0.6:   A System For Automatic Personalized Tracking of.. - Bollacker, Lawrence.. (1999)   (Correct)
0.3:   Power-Efficient Data Dissemination in - Wireless Sensor Networks   (Correct)
0.2:   Semantic Multicast for Content-based Stream Dissemination - Papaemmanouil.. (2004)   (Correct)

Related documents from co-citation:   More   All
3:   Expressing User Profiles for Data Recharging - Cherniack, Franklin et al. - 2000
3:   Personalized information delivery: an analysis of information filtering methods (context) - Foltz, Dumais - 1992
2:   Efficient Filtering of XML Documents for Selective Dissemination of Information - Altinel, Franklin - 2000

BibTeX entry:   (Update)

U. Cetintemel, M. Franklin, C. L. Giles, "SelfAdaptive User Profiles for Large Scale Data Delivery ", Proc. 16th ICDE, San Diego, February, 2000. http://citeseer.ist.psu.edu/cetintemel00selfadaptive.html   More

@inproceedings{ cetintemel00selfadaptive,
    author = "Ugur Cetintemel and Michael J. Franklin and C. Lee Giles",
    title = "Self-Adaptive User Profiles for Large-Scale Data Delivery",
    booktitle = "{ICDE}",
    pages = "622-633",
    year = "2000",
    url = "citeseer.ist.psu.edu/cetintemel00selfadaptive.html" }
Citations (may not include all citations):
976   Machine Learning (context) - Mitchell - 1997
318   Automatic Text Processing (context) - Salton - 1989
288   Relevance feedback in information retrieval (context) - Rocchio - 1971
271   Improving retrieval performance by relevance feedback (context) - Salton, Buckley - 1990
243   Information Retrieval: Data Structures and Algorithms (context) - Frakes, Baeza-Yates - 1992
222   BIRCH: an efficient data clustering method for very large da.. - Zhang, Ramakrishnan et al. - 1996
174   Information filtering and information retrieval: Two sides o.. (context) - Belkin, Croft - 1992
133   CURE: an efficient clustering algorithm for large databases - Guha, Rastogi et al. - 1998
100   Personalized information delivery: An analysis of informatio.. (context) - Foltz, Dumais - 1992
97   SIFT- a tool for widearea information dissemination - Yan, Garcia-Molina - 1995
65   Representing and querying changes in semistructured data - Chawathe, Abiteboul et al. - 1998
45   Incremental relevance feedback for information filtering - Allan - 1996
37   line new event detection and tracking - Allan, Papka et al. - 1998
29   Overview of the fifth Text REtrieval Conference (context) - Voorhees, Harman - 1996
27   Document filtering with inference networks - Callan - 1996
19   boolean query evaluation: A comparison of retrieval performa.. (context) - Turtle, vs - 1994
17   CQ: A personalized update monitoring toolkit - Liu, Pu - 1998
15   INQUERY system overview - Broglio, Callan et al. - 1994
14   Detection of shifts in user interests for personalized infor.. (context) - Lam, Mukhopadhyay et al. - 1996
11   Incremental relevance feedback (context) - Aalbersberg - 1992
10   Efficient dissemination of information on the Internet (context) - Yan, Garcia-Molina - 1996
1   using clustering for mediating access to the world wide web (context) - Mechkour, Harper et al. - 1998
1   DBIS toolkit - adaptible middleware for largescale data deli.. (context) - Altinel, Aksoy et al. - 1999
1   Flexible user profiles for large-scale data delivery (context) - Cetintemel, Franklin et al. - 1999

Documents on the same site (http://www.cs.umd.edu/~ugur/papers.html):   More
Evaluating Answer Quality/Efficiency Tradeoffs - Çetintemel, Jónsson, Franklin, .. (1998)   (Correct)
Flexible User Profiles for Large Scale Data Delivery - Çetintemel, Franklin, Giles (1999)   (Correct)
Design and Evaluation of Redistribution Strategies.. - Cetintemel, Özden.. (2001)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC