- Page 1: THÈSE DE DOCTORAT DE l’UNIVERSIT
- Page 5: Acknowledgements First and foremost
- Page 9 and 10: Contents Introduction 1 Contributio
- Page 11: 7.2 Online Change Estimation for RS
- Page 14 and 15: each item corresponding to a change
- Page 16 and 17: • Information loss. Since each ne
- Page 21 and 22: Chapter 1 Content-Based Feed Aggreg
- Page 23 and 24: Figure 1.2: RSS Aggregator source t
- Page 25 and 26: 1.4.1 Feed Semantics: Windows and S
- Page 27 and 28: in sel(q) ∈ [0, 1]. We consider t
- Page 29 and 30: 1.6.1 Aggregation Network Model Def
- Page 31 and 32: instead of multidimensional node pr
- Page 33 and 34: Chapter 2 Feed Aggregation Quality
- Page 35 and 36: efreshed. We consider separately th
- Page 37 and 38: Figure 2.2: Stream and Window diver
- Page 39 and 40: 2.2 Feed Completeness In this secti
- Page 41: Observe that, as an alternative, we
- Page 45 and 46: Chapter 3 Related Work A web crawle
- Page 47 and 48: lished content. The big advantage o
- Page 49 and 50: uncrawled urls. According to their
- Page 51: RSS aggregator is to quickly retrie
- Page 54 and 55: consequently maximizes their window
- Page 56 and 57: Best Effort Refresh Strategy. Let u
- Page 58 and 59: 4.2 2Steps Best Effort Refresh Stra
- Page 60 and 61: However, in the context of content-
- Page 62 and 63: Divergence Values. In a purely pull
- Page 64 and 65: Figure 4.3: Window freshness exact
- Page 66 and 67: Figure 4.4: Tau convergence 54
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Chapter 5 Related Work Modern Web 2
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5.2 Change Models In order to effic
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ument that corresponds to a certain
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and serve us as real world data to
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published items and in the shape of
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negligible / insignificant publicat
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of the feed publication activity an
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systems depend on appropriate sourc
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7.2 Online Change Estimation for RS
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Figure 7.4: Periodic publication mo
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Dynamical α Adjustment Heuristics.
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Furthermore, we show the 24-dimensi
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sources are refreshed and thus, how
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(a) Peaks (b) Uniform (c) Waves Fig
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7.4.1 Homogeneous Poisson Process I
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Algorithm 7.1 Lambda Estimation wit
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Feed completeness is based on the s
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s. Its value might be fixed accordi
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Part IV Appendix 95
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un utilisateur de rester informé d
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• Ressources limitées. Non seule
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Organisation du Mémoire Ce mémoir
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7.10 Window freshness . . . . . . .
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106
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[BP98] Sergey Brin and Lawrence Pag
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Triantafillou, and Torsten Suel, ed
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[rssa] RSS Board. http://www.rssboa
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Bernhard Thalheim, and Xiaoyang Sea