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• Chapter 1 Introduction
• Chapter 2 Analysis Process
• Chapter 3 How it Works
• Chapter 4 Goals
• Chapter 5 Visitor Analysis
• Chapter 6 Traffic Analysis
• Chapter 7 How People Use Content
• Chapter 8 Clickpath Analysis
• Chapter 9 Segmentation
• Chapter 10 Putting it Together
• Chapter 11 Testing
• Chapter 12 Measuring Behavior within Pages
• Chapter 13 AB Testing
• Chapter 14 Profiles
• Chapter 15 Culture
• Chapter 16 Conclusion.
• (source: Nielsen Book Data)

Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.
(source: Nielsen Book Data)

• Chapter 1: Requirements for Digital Preservation.-
• Chapter 2: Metadata in Long-term Digital Preservation.-
• Chapter 3: The CREDO Project.-
• Chapter 4: CREDO Repository Architecture.-
• Chapter 5: Information Processing in CREDO Long-term Archive.-
• Chapter 6: Metadata in CREDO Long-term Archive.-
• Chapter 7: Persistence Management in Long-term Digital Archive.-
• Chapter 8: Power Efficiency and Scheduling Access to the Archive.-
• Chapter 9: Information Management in Federated Digital Archives.
• (source: Nielsen Book Data)

This book addresses the process of maintaining digital objects through time to ensure continued access, an aspect that has become a crucial issue in recent years. It offers a concise yet comprehensive discussion of key concepts and requirements for long-term digital preservation, and presents a pioneering framework for digital repositories that enables the long-term archiving and metadata management for large volumes of digital resources based on a system that has already been completely designed and launched. In the framework, the reliability of information readouts is ensured by the repository with two-level data recording replication and monitoring mechanisms in the repository management system (RMS) and the file systems, and by the RMS's distributed nature. The advanced RMS allows operations on the archival storage to be scheduled, while also taking into account low energy consumption requirements. After presenting the framework in detail, the book assesses and demonstrates the approach's viability in terms of delivering accessibility, authenticity and usability. As such, the book offers a valuable resource for information technology (IT) researchers and practitioners, as well as archivists and librarians.
(source: Nielsen Book Data)

• pt. 1. A world of annotations
• pt. 2. Leaving a mark ...
• pt. 3. Peeking at the future.

Did you ever read something on a book, felt the need to comment, took up a pencil and scribbled something on the books' text'? If you did, you just annotated a book. But that process has now become something fundamental and revolutionary in these days of computing. Annotation is all about adding further information to text, pictures, movies and even to physical objects. In practice, anything which can be identified either virtually or physically can be annotated. In this book, we will delve into what makes annotations, and analyse their significance for the future evolutions of the web. We will explain why it was thought to be unreasonable to annotate documents manually and how Web 2.0 is making us rethink our beliefs. We will have a look at tools which make use of Artificial Intelligence techniques to support people in the annotation task. Behind these tools, there exists an important property of the web known as redundancy; we will explain what it is and show how it can be exploited. Finally we will gaze into the crystal ball and see what we might expect to see in the future. Until people understand what the web is all about and its grounding in annotation, people cannot start appreciating it. And until they do so, they cannot start creating the web of the future.

• Chapter 1 Introduction
• Chapter 2 Analysis Process
• Chapter 3 How it Works
• Chapter 4 Goals
• Chapter 5 Visitor Analysis
• Chapter 6 Traffic Analysis
• Chapter 7 How People Use Content
• Chapter 8 Clickpath Analysis
• Chapter 9 Segmentation
• Chapter 10 Putting it Together
• Chapter 11 Testing
• Chapter 12 Measuring Behavior within Pages
• Chapter 13 AB Testing
• Chapter 14 Profiles
• Chapter 15 Culture
• Chapter 16 Conclusion.
• (source: Nielsen Book Data)

Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.
(source: Nielsen Book Data)

• On the use of matrix Bloom filters in data leak protection.- A hybrid approach for the automatic extraction of causal relations from text.- Ambient Intelligence by ATML Rules in BackHome.- Dense Semantic Graph and its Application in Single Document Summarisation.- Web Architecture of a Web Portal for Reliability Diagnosis of Bus Regularity.- An approach to Knowledge Formalization.
• (source: Nielsen Book Data)

This book addresses new challenges and emerging ideas in Distributed Information Filtering and Retrieval. It gathers extended papers presented at DART 2013 (the 7th International Workshop on Information Filtering and Retrieval), held on December 6, 2013 in Turin, Italy, and co-hosted with the XIII International Conference of the Italian Association for Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The papers presented here offer a comprehensive review of related work and state-of-the-art techniques. The authors - a mix of respected practitioners and researchers - share their findings on a range of topics, including data leak protection on text comparison, natural language processing, ambient intelligence, information retrieval and web portals, and knowledge management. All contributions were carefully reviewed by experts in the respective area, who also provided useful suggestions to improve the book's overall quality.
(source: Nielsen Book Data)

• Lifelog search
• Open live test for question retrieval
• QA lab for political information
• Short text conversation
• We want web
• Fine-grained numeral understanding in financial tweet.

This book constitutes the refereed proceedings of the 14th International Conference on NII Testbeds and Community for Information Access Research, NTCIR 2019, held in Tokyo, Japan, in June 2019. The 15 full papers presented in this book were carefully reviewed and selected from 55 submissions. This NTCIR 2019 proceedings was structured in the following topics: lifelog search; open live test for question retrieval; QA lab for political information; short text conversation; we want web; and fine-grained numeral understanding in financial tweet.

• Keynotes.- Efficiency.- Graphs, Knowledge Bases and Taxonomies.- Recommendations.- Twitter and Social Media.- Web Search.- Text Processing, Understanding and Categorization.- Topics and Models.- Clustering.- Evaluation.- Social Media and Recommendation.- Short Papers.- Demonstrations.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane, QLD, Australia, in December 2015. The 29 full papers presented together with 11 short and demonstration papers, and the abstracts of 2 keynote lectures were carefully reviewed and selected from 92 submissions. The final programme of AIRS 2015 is divided in 10 tracks: Efficiency, Graphs, Knowledge Bases and Taxonomies, Recommendation, Twitter and Social Media, Web Search, Text Processing, Understanding and Categorization, Topics and Models, Clustering, Evaluation, and Social Media and Recommendation.
(source: Nielsen Book Data)

• Digital Library Design
• User Aspects
• Search
• Web Archives
• Semantics
• Multimedia and Time Aspects
• Digital Library Evaluation
• Digital Humanities
• e-Infrastructures.

This book constitutes the proceedings of the 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, held in Hannover, Germany, in September 2016. The 28 full papers, 5 posters and 8 short papers presented in this volume were carefully reviewed and selected from 93 submissions. They were organized in topical sections named: Digital Library Design; User Aspects; Search; Web Archives; Semantics; Multimedia and Time Aspects; Digital Library Evaluation; Digital Humanities; e-Infrastructures.

• Introduction to Web Page Recommender Systems Preprocessing for Web Page Recommender Models Pattern Extraction Evaluation Metrics.
• (source: Nielsen Book Data)

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, financial management, education, government, e-commerce, health services, and many other information services. The Web also contains a rich and dynamic collection of hyperlink information, Web page access and usage information, providing sources for data mining. The amount of information on the Web is growing rapidly, as well as the number of Web sites and Web pages per Web site. Consequently, it has become more difficult to find relevant and useful information for Web users. Web usage mining is concerned with guiding the Web users to discover useful knowledge and supporting them for decision-making. In that context, predicting the needs of a Web user as she visits Web sites has gained importance. The requirement for predicting user needs in order to guide the user in a Web site and improve the usability of the Web site can be addressed by recommending pages to the user that are related to the interest of the user at that time. This monograph gives an overview of the research in the area of discovering and modeling the users' interest in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining algorithms they use for recommendation.
(source: Nielsen Book Data)

• Exploratory Subgroup Analytics on Ubiquitous Data.- Personalized Network Activity Feeds: Finding Needles in Haystacks.- Ontology-Enabled Access Control and Privacy Recommendations.- Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context.- Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender.- Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.- Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.- Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. The focus is on collective intelligence in ubiquitous and social environments. Issues tackled include personalization in social streams, recommendations exploiting social and ubiquitous data, and efficient information processing in social systems. Furthermore, this book presents work dealing with the problem of mining patterns from ubiquitous social data, including mobility mining and exploratory methods for ubiquitous data analysis.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 18th InternationalConference on Asia-Pacific Digital Libraries, ICADL 2016, held in Tsukuba, Japan, in December 2016. The 18 full papers, 17 work-in-progress papers and 7 practitioner papers presented were carefully reviewed and selected from 71 submissions. The papers cover topics such as community informatics, digital heritage preservation, digital curation, models and guidelines, information retrieval/integration/extraction/recommendation, privacy, education and digital literacy, open access and data, and information access design.
(source: Nielsen Book Data)