U. Centintemel and M. Franklin, "Self-adaptive user profiles for large-scale data delivery," in Proc. of ICDE, pp. 622-633, 2000. Home/Search Document Details and Download
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An XML-based Multimedia Middleware for Mobile Online Auctions - Wagner, Balke, Kießling (2001) (Correct)
....thing is to enable users to perform frequently needed tasks with preferably small and mobile devices. Thus, these tasks can be integrated into their daily routine with a maximum degree of freedom. Knowing the query profiles, usage patterns and technical restrictions a user profile can be modeled [4]. usage patterns user device frequency location browse, choose item PC rare home find similar item PC PDA rare anywhere check, increase bid PC PDA WAP often anywhere Figure 3: Usage patterns for different devices. Again consider our above example. To choose a painting from the auction ....
U. Cetintemel, M. J. Franklin, and C. L. Giles. Self-Adaptive User Profiles for Large-Scale Data Delivery. In Proc. of the 16th Int. Conf. on Data Engineering, San Diego, CL, USA, 2000. IEEE Computer Society.
Profile-Driven Cache Management - Cherniack, Galvez, Franklin, Zdonik Self-citation (Franklin) (Correct)
....expect profiles to describe many more domain sets with more complex utility value expressions than was demonstrated with the Traveler profile. We consider 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 built and extended Profile Best 5 Object Cache Value using Traveler Traveler 1 Sh, 1 Ho, 1 Di, 2 RC 10 Ho,Di,Sh,RC # , 1 Re 9 Table 1: Best 5 ....
U. Cetintemel, M. J. Franklin, and C. L. Giles. Self-adaptive user profiles for large-scale data delivery. In Proceedings of the 16th International Conference on Data Engineering, 28 February - 3 March, 2000.
Challenges in Ubiquitous Data Management - Franklin (2001) (2 citations) Self-citation (Franklin) (Correct)
....list, and To Do list. Challenges in Ubiquitous Data Management Our previous work on user profiles has focused on 1) efficiently processing profiles over streams 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, but requires the further development of a suitable language and processing strategy for highly expressive user profiles (i.e. that include user preference ....
Ugur Cetintemel, Michael J. Franklin, and C. Lee Giles. Self-Adaptive User Profiles for Large-Scale Data Delivery, Proceedings of the International Conference on Data Engineering, San Diego, CA, February, 2000, pp 622-633
Efficient Filtering of XML Documents for Selective.. - Altinel, Franklin (2000) (47 citations) Self-citation (Franklin) (Correct)
....queries consisting of keywords connected with boolean operators. The latter use a fuzzy match semantics in which the profiles and documents are assigned a similarity value. A document whose similarity to a profile exceeds a certain threshold is said to match the profile. The Vector Space Model [CFG00, Sal89] and statistical approaches (e.g. BC92] are examples of similarity 2 Several recent text retrieval methodsaim to take structure information into account for text databases [BN96] These methods, however, are not as mature as the ones described above and they have not been studied in the ....
U. Cetintemel, M. Franklin, C. L. Giles, "SelfAdaptive User Profiles for Large Scale Data Delivery ", Proc. 16th ICDE, San Diego, February, 2000.
A Classification and Evaluation of Data Movement.. - Mattmann, Kelly.. (2006) (Correct)
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U. Centintemel and M. Franklin, "Self-adaptive user profiles for large-scale data delivery," in Proc. of ICDE, pp. 622-633, 2000.
User Profile Integration in Knowledge Management Systems - Duflou Hermans Vandermeulen (Correct)
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Cetintemel, U., Franklin, M.J., Giles, C.L., 2001, Self-Adaptive User Profiles for Large-Scale Data Delivery, Proceedings of the 16th International Conference on Data Engineering, 622-633, San Diego, California.
A Scalable Low-Latency Cache Invalidation Strategy for Mobile.. - Cao (11 citations) (Correct)
No context found.
U. Cetintemel, M. Franklin, and C. Giles, "Self-Adaptive User Profiles for Large-Scale Data Delivery," Proc. Int'l Conf. Data Eng., pp. 622-633, 2000.
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