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E-raamat: Mobile Information Retrieval

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Mobile Information RetrievalSuurem pilt
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This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today"s research on Mobile IR.  The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications.  Overall, the book offers a valuable tool, helping new and veteran researcher

s alike to navigate this exciting and highly dynamic area of research.

1 Introduction.- 2 From IR to Mobile IR.- 3 Foundations.- 4 Documents.- 5 Users and Information Needs.- 6 User Interface.- 7 Context Awareness.- 8 Evaluation.- 9 Conclusions and Outlook.

Arvustused

Overall, this is an interesting book to read. It is also an important summary of the mobile IR literature. Despite its relatively short length (less than 100 pages without reference), it manages to pack in a huge amount of useful information. (Daqing He, Journal of the Association for Information Science and Technology, 2018)





 

1 Introduction
1(4)
1.1 Information Retrieval with Mobile Devices
1(1)
1.2 Motivations and Methodology
2(1)
1.3 Outline
3(2)
2 From IR to Mobile IR
5(10)
2.1 Information Retrieval
5(6)
2.1.1 Brief Introduction to Information Retrieval
5(3)
2.1.2 Information Retrieval Evaluation
8(2)
2.1.3 Interactive Information Retrieval
10(1)
2.2 Mobile Information Retrieval
11(1)
2.3 The Literature Landscape of Mobile IR
12(2)
2.4 Conclusions
14(1)
3 Foundations
15(8)
3.1 The Mobile Phone Device
15(2)
3.2 The Role of Technology and Society
17(1)
3.3 The Concept of Relevance
18(2)
3.4 Mobile IR Models
20(1)
3.5 Conclusions
21(2)
4 Documents
23(10)
4.1 Text
23(1)
4.2 Multimedia
24(1)
4.3 Apps
25(4)
4.4 Movement Data, POIs, and IoT
29(2)
4.5 Conclusions
31(2)
5 Users and Information Needs
33(12)
5.1 Log Analysis
33(8)
5.1.1 First Studies
33(2)
5.1.2 Follow-Ups and More Complete Studies
35(3)
5.1.3 Third Wave
38(2)
5.1.4 Related Studies
40(1)
5.2 User Studies, Surveys, Interviews, and Diary Studies
41(3)
5.3 Conclusions
44(1)
6 User Interface
45(20)
6.1 A Different User Interface
45(1)
6.2 Input
46(9)
6.2.1 Text Based Input
47(1)
6.2.2 Spoken Input
48(2)
6.2.3 Mobile Phone Sensors
50(1)
6.2.4 Zero-Term Queries
51(2)
6.2.5 Intelligent Personal Assistants (IPAs)
53(2)
6.3 Output
55(6)
6.3.1 Text Based Presentation
55(1)
6.3.2 Summarisation
56(2)
6.3.3 Results Visualisation
58(3)
6.4 Query Reformulation and Query Expansion
61(2)
6.5 Conclusions
63(2)
7 Context Awareness
65(20)
7.1 Defining Context
65(5)
7.2 Context Awareness Dimensions
70(13)
7.2.1 Location Awareness
70(5)
7.2.2 Time Awareness
75(2)
7.2.3 Beyond Location and Time Awareness
77(4)
7.2.4 Social Awareness
81(2)
7.3 Conclusions
83(2)
8 Evaluation
85(10)
8.1 The Importance of Evaluation
85(1)
8.2 User Studies
86(2)
8.2.1 Evaluation of Mobile IR Systems
86(1)
8.2.2 Evaluation of IPAs
87(1)
8.3 Test Collections
88(5)
8.3.1 Early Attempts
89(2)
8.3.2 TREC and NTCIR
91(2)
8.4 Conclusions
93(2)
9 Conclusions and Outlook
95(2)
9.1 Summary
95(1)
9.2 Outlook: Mobile IR Trends
96(1)
References 97
Fabio Crestani has been Professor at the Università della Svizzera Italiana (USI) in Lugano, Switzerland since 2007. Before that he was Professor at the University of Strathclyde in Glasgow (UK) and the University of Padua (Italy), spending sabbatical time at Yahoo! (Spain), UC Berkeley (USA), PARC (USA), and the University of Grenoble (France). His main areas of research are Information Retrieval, Text Mining, and Digital Libraries. He has co-edited 9 books and published over 200 refereed papers in these areas of research. Stefano Mizzaro is Associate Professor at the University of Udine, Italy, since 2006. His current research interests include Information Retrieval and mobile contextual information access. He published more than 100 refereed papers, several as a single author, received some international awards for best papers, and authored two books on Java programming. He had an active role in several research projects at regional, national, and European level. Ivan Scagnetto holds a PhD in Computer Science from the University of Udine and is Researcher (Assistant Professor) at the same university since 2005. His current research activity is focused on Computer Aided Formal Reasoning and Mobile/Distributed Systems. He is co-author of several peer-reviewed papers and of a textbook on server-side web technologies. He worked in several research and technology transfer projects at regional, national and international level.
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