pdf - 395 K - Ecole des mines de Nantes

More documents

Recommendations

Info

ContentsAbstract 1Acknowledgements 2Contents 3Introduction 6Chapter 1: State -of-the-Art 91 Recommender systems1.1 Background991.2 Examples1.3 A profiling technique10112 Agents 122.1 Overview 122.2 Multi-agent systems (MASs) 132.3 Examples of agents and MASs 172.4 Existing tools 192.5 Design 223 Metadata 243.1 Definition 243.2 Roles and use 243.3 Storage 253.4 Interoperability issue 254 Perspectives 28Chapter 2: Contribution 291 Our approach 292 Expected outcomes 292.1 User navigation assistance. 292.2 Feedback for administrators and content providers. 303 Principles of our solution3.1 User perspective30313.2 Resource perspective3.3 Business intelligence generation31324 Consequences 32Chapter 3: Application Design 331 Structure overview 332 Navigation System Interface 343 Agents Component 34MSc EMOOSE Thesis – http://www.emn.fr/EMOOSE 3
3.1 User Agents Component 353.2 Node Agents Component 354 Standard User Profiles Component 355 Business Intelligence Component 356 Non-generic part 366.1 Choice of Navigation System6.2 Consequences on the application3637Chapter 4: Implementation 381 Implementation strategy 382 Agent infrastructure level 392.1 Agent communication 392.2 Agent management 393 Agent framework level 413.1 Agent design 413.2 Synchronized inter-activity communication 424 Application level 444.1 Overview 444.2 User Agent Proxy 444.3 User Agent Maker 464.4 User Agent 464.5 Business Intelligence Component 48Chapter 5: Future Work 511 Application outputs 512 Explicit user inputs 513 Validation of the approach 524 Genericity checking 525 Application implementation 526 Improvement of the agent system 53Conclusion 54Index of terms used 55Appendix A: Addendum on Industrial Issues 56Learning objects 561. The promises of e-learning2. The necessary emergence of learning objects5656Appendix B: SQL Tables Design 581 Table UP (User Profile) 582 Table UPNode 583 Table UPLink 58MSc EMOOSE Thesis – http://www.emn.fr/EMOOSE 4
Page 1: Vrije Universiteit Brussel - Belgiu
Page 6 and 7: (4) Table UP_SUP (matches User Prof
Page 9 and 10: content providers’ interpretation
Page 11 and 12: - Active profiling consists in aski
Page 13 and 14: 2 Agents2.1 Overview2.1.1 Definitio
Page 15 and 16: (1) each agent has incomplete infor
Page 17 and 18: MASs need an organization for speci
Page 19 and 20: However, the usefulness of personal
Page 21 and 22: they often provide implementation o
Page 23 and 24: 2.5 Design2.5.1 The DIMA designIn [
Page 25 and 26: 3 MetadataDuring the earlier invest
Page 27 and 28: This requires some agreement and st
Page 29 and 30: 4 PerspectivesRecommender systems m
Page 31 and 32: way Lego blocks should be assembled
Page 33 and 34: usiness intelligence is generated.
Page 35 and 36: important than memory space optimiz
Page 37 and 38: The graph is then formatted to be v
Page 39 and 40: Chapter 4: Implementation1 Implemen
Page 41 and 42: (1) A Name Server (NS) maps every a
Page 43 and 44: the agent terminates, the thread is
Page 45 and 46: 4 Application level4.1 OverviewThe
Page 47 and 48: 4.3 User Agent MakerThis agent has
Page 49 and 50: Thus the profile, node and link cla
Page 51 and 52: BIProviderR : Provide_Business_Inte
Page 53 and 54: to enable users to explicitly speci
Page 55 and 56:
ConclusionA “minimalist” approa
Page 57 and 58:
Appendix A: Addendum onIndustrial I
Page 59 and 60:
Appendix B: SQL Tables Design1 Tabl
Page 61 and 62:
Appendix C: Conference PaperA paper
Page 63 and 64:
very large repositories of learning
Page 65 and 66:
popularity of the link (the bigger
Page 67 and 68:
Appendix D: Source Code1 Agent infr
Page 69 and 70:
public static bool ProcessIsMainHos
Page 71 and 72:
string path = MakePath(".", Middlew
Page 73 and 74:
System.Messaging.MessageQueue queue
Page 75 and 76:
public static NameServer GetNS(){if
Page 77 and 78:
}}}table[agentId] = address;}}/// /
Page 79 and 80:
****** NON-STATIC PART ******// Tab
Page 82 and 83:
}}}return (AgentId) first;using Sys
Page 85 and 86:
{}return Subject.GetHashCode() + Na
Page 87 and 88:
name in order to allow for the retr
Page 89 and 90:
}// Start agent's main Thread.Threa
Page 91 and 92:
}DirectoryFacilitator.GetDF().Unreg
Page 93 and 94:
{/// /// Allows for specific conver
Page 95 and 96:
}Monitor.Exit(aLock);public overrid
Page 97 and 98:
Allows for synchronized Message exc
Page 99 and 100:
esource./// /// public string GetMa
Page 101 and 102:
}}private void RunTerminationExamin
Page 103 and 104:
}private Message RequestUACreation(
Page 105 and 106:
}msgQueue.AddFilters(new MessageCat
Page 107 and 108:
Message received: interrupt preterm
Page 109 and 110:
19. Class Architecture.DBManagerAg
Page 111 and 112:
}}connection.Close();/// /// For sa
Page 113 and 114:
using System.Collections;namespace
Page 115 and 116:
namespace Architecture.Profiles{usi
Page 117 and 118:
private UP(DataRow row) : this(newU
Page 119 and 120:
}DataRow[] rows = Row.GetChildRows(
Page 121 and 122:
}adapter.Update(Data);//***********
Page 123 and 124:
internal static readonly string LAS
Page 125 and 126:
}}Row[OCCURRENCES] = Occurrences +
Page 127 and 128:
}get{}return Data.Rows.Find(_name);
Page 129 and 130:
private static SqlDataAdapter adapt
Page 131 and 132:
}foreach (ILink link in links){if (
Page 133 and 134:
}}}private DataRow Row{get{return D
Page 135 and 136:
18. N. Good, et al. Combining colla
Page 137 and 138:
49. D. Derbyshire, et al., Agent-Ba
Page 139:
83. Council for Higher Education Ac
show all

pdf - 395 K - Ecole des mines de Nantes

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?