Search (318 results, page 1 of 16)

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  1. Rose, D.E.: Reconciling information-seeking behavior with search user interfaces for the Web (2006) 0.10 
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    Abstract
    User interfaces of Web search engines reflect attributes of the underlying tools used to create them, rather than what we know about how people look for information. In this article, the author examines several characteristics of user search behavior: the variety of information-seeking goals, the cultural and situational context of search, and the iterative nature of the search task. An analysis of these characteristics suggests ways that interfaces can be redesigned to make searching more effective for users.
    Date
    22. 7.2006 17:58:06
    Footnote
    Beitrag in einer Special Section "Perspectives on Search User Interfaces: Best Practices and Future Visions"
  2. Vidmar, D.J.; Anderson-Cahoon, C.J.: Internet search tools : history to 2000 (2009) 0.07 
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    Abstract
    The early history of Internet search systems was quite diverse, and went through several stages before settling into the more mature recent environment of a few major search engines. The authors note: "From the early beginnings of Telnet, File Transfer Protocol (FTP), Archie, Veronica, and Gopher to the current iterations of Web search engines and search directories that use graphical interfaces, spiders, worms, robots, complex algorithms, proprietary information, competing interfaces, and advertising, access to the vast store of materials that is the Internet has depended upon search tools."
  3. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.07 
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    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
    LCSH
    User interfaces (Computer systems)
    Subject
    User interfaces (Computer systems)
  4. Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008) 0.06 
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    Abstract
    Categorized overviews of web search results are a promising way to support user exploration, understanding, and discovery. These search interfaces combine a metadata-based overview with the list of search results to enable a rich form of interaction. A study of 24 sophisticated users carrying out complex tasks suggests how searchers may adapt their search tactics when using categorized overviews. This mixed methods study evaluated categorized overviews of web search results organized into thematic, geographic, and government categories. Participants conducted four exploratory searches during a 2-hour session to generate ideas for newspaper articles about specified topics such as "human smuggling." Results showed that subjects explored deeper while feeling more organized, and that the categorized overview helped subjects better assess their results, although no significant differences were detected in the quality of the article ideas. A qualitative analysis of searcher comments identified seven tactics that participants reported adopting when using categorized overviews. This paper concludes by proposing a set of guidelines for the design of exploratory search interfaces. An understanding of the impact of categorized overviews on search tactics will be useful to web search researchers, search interface designers, information architects and web developers.
    Date
    29. 7.2008 15:27:58
    Footnote
    Beitrag eines Themenschwerpunktes "Evaluating exploratory search systems"
  5. Kennedy, S.D.: Looking beyond the major search engines : the Internet has vast resources of untapped information available (1998) 0.05 
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    Abstract
    The vast sources of information, in formatted files, online publications requiring registratiion and login, many statistical files as well as subject databases where results appear as dynamically created HTML pages, are not accessible to Web spiders and thus constitute a hidden Internet. In addition there are non-Web resources such as ftp archives where such materials as research papers can be obtained free. Explains a number of approaches to the hidden Internet including using the list 'Direct links to the search interfaces of resources not easily searchable ..." compiled at the Gelman Library, George Washington University and the Internet Sleuth. Also reviews publications to aid those using Photoshop for designing graphics
    Date
    6. 3.1999 17:08:29
  6. McMurdo, G.: How the Internet was indexed (1995) 0.04 
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    Abstract
    The scope and characteristics of what may be considered the first three generations of automated Internet indexing systems are identified and described as to their methods of compiling their datasets, their search interfaces and the associated etymological metaphors and mythologies. These three are suggested to be: firstly, the Archie system for single keyword and regular expression searches of the file lists of anonymous ftp sites: secondly, the Veronica system for Boolean keyword in title searches of the world's gopher servers; thirdly, a range of software techniques jnown as robots and search engines, which compile searchable databases of information accessible via the WWW, such as the currently popular Lycos project at Carnegie Mellon University. The present dominance of WWW client software as the preferred interface to Internet information has led to provision of methods of also using the first two systems by this single interface, and these are also noted
  7. Pahlevi, S.M.; Kitagawa, H.: Conveying taxonomy context for topic-focused Web search (2005) 0.04 
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    Abstract
    Introducing context to a user query is effective to improve the search effectiveness. In this article we propose a method employing the taxonomy-based search services such as Web directories to facilitate searches in any Web search interfaces that support Boolean queries. The proposed method enables one to convey current search context an taxonomy of a taxonomy-based search service to the searches conducted with the Web search interfaces. The basic idea is to learn the search context in the form of a Boolean condition that is commonly accepted by many Web search interfaces, and to use the condition to modify the user query before forwarding it to the Web search interfaces. To guarantee that the modified query can always be processed by the Web search interfaces and to make the method adaptive to different user requirements an search result effectiveness, we have developed new fast classification learning algorithms.
  8. Markey, K.: Twenty-five years of end-user searching : part 2: future research directions (2007) 0.04 
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    Abstract
    This is the second part of a two-part article that examines 25 years of published research findings on end-user searching of online information retrieval (IR) systems. In Part 1, it was learned that people enter a few short search statements into online IR systems. Their searches do not resemble the systematic approach of expert searchers who use the full range of IR-system functionality. Part 2 picks up the discussion of research findings about end-user searching in the context of current information retrieval models. These models demonstrate that information retrieval is a complex event, involving changes in cognition, feelings, and/or events during the information seeking process. The author challenges IR researchers to design new studies of end-user searching, collecting data not only on system-feature use, but on multiple search sessions and controlling for variables such as domain knowledge expertise and expert system knowledge. Because future IR systems designers are likely to improve the functionality of online IR systems in response to answers to the new research questions posed here, the author concludes with advice to these designers about retaining the simplicity of online IR system interfaces.
  9. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.04 
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    Abstract
    Purpose Web search is more and more moving into mobile contexts. However, screen size of mobile devices is limited and search engine result pages face a trade-off between offering informative snippets and optimal use of space. One factor clearly influencing this trade-off is snippet length. The purpose of this paper is to find out what snippet size to use in mobile web search. Design/methodology/approach For this purpose, an eye-tracking experiment was conducted showing participants search interfaces with snippets of one, three or five lines on a mobile device to analyze 17 dependent variables. In total, 31 participants took part in the study. Each of the participants solved informational and navigational tasks. Findings Results indicate a strong influence of page fold on scrolling behavior and attention distribution across search results. Regardless of query type, short snippets seem to provide too little information about the result, so that search performance and subjective measures are negatively affected. Long snippets of five lines lead to better performance than medium snippets for navigational queries, but to worse performance for informational queries. Originality/value Although space in mobile search is limited, this study shows that longer snippets improve usability and user experience. It further emphasizes that page fold plays a stronger role in mobile than in desktop search for attention distribution.
    Date
    20. 1.2015 18:30:22
  10. Next generation search engines : advanced models for information retrieval (2012) 0.03 
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    Abstract
    The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
    With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.
    LCSH
    Information storage and retrieval systems / Research
    User interfaces (Computer systems)
    Subject
    Information storage and retrieval systems / Research
    User interfaces (Computer systems)
  11. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.03 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
  12. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.03 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
  13. Stanley, T.: Searching the World Wide Web with Lycos and InfoSeek (1995) 0.03 
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    Abstract
    Evaluates the use of Lycos and InfoSeek search tools for information discovery of the WWW. Compares the services offered focusing on: search interfaces and languages, collection size and content, quality and indexing issues and the increasing move towards commercialisation of tools on the WWW which are used for organising and cataloguing resources
  14. Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997) 0.03 
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    Abstract
    Current user interfaces for textual database searching leave much to be desired: individually, they are often confusing, and as a group, they are seriously inconsistent. We propose a four- phase framework for user-interface design: the framework provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms. Users will benefit from faster learning, increased comprehension, and better control, leading to more effective searches and higher satisfaction.
  15. Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997) 0.02 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
  16. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.02 
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    1. 8.1996 22:08:06
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    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  17. Sauer, D.: Alles schneller finden (2001) 0.02 
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
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    Com!online. 2001, H.12, S.24-29
  18. Henzinger, M.; Pöppe, C.: "Qualität der Suchergebnisse ist unser höchstes Ziel" : Suchmaschine Google (2002) 0.02 
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    Content
    Spektrum: Wie finanziert sich Google? - Henzinger: Überwiegend durch gewöhnliche Reklame: einzeilige Anzeigen, die nur aus durchlaufendem Text bestehen. Diese Werbung erscheint nur auf solche Fragewörter, die mit dem Produkt in Verbindung stehen, wir nennen das "keyword targeting". Auch kann jeder online eine Anzeige kaufen. Wenn Sie Ihrer Frau über Google zum Geburtstag gratulieren wollen, können Sie eine Anzeige schalten, die nur auf deren Namen hin erscheint. Zweitens durch Search Services. Zum Beispiel bezahlt uns Yahoo dafür, dass unsere Ergebnisse auf deren Seite erscheinen. Manche Firmen wollen auf ihrer Webseite eine Suchfunktion einrichten, aber nicht selbst programmieren. Für diese Unternehmen bauen wir dann einen eigenen Index und beantworten damit die Suchanfragen, die an sie gestellt werden. Schließlich verkaufen wir neuerdings unsere Produkte zur firmeninternen Nutzung in Intranets. Mit diesem Konzept sind wir eine der wenigen neuen Internet-Firmen, die ihr Geld verdienen. - Spektrum: Gibt es neue Projekte? - Henzinger: Zum Beispiel Spracheingabe. Der Benutzer spricht seine Frage in ein Mikrofon und bekommt die Antworten auf den Bildschirm, später vielleicht auch gesprochen. Oder unser News Search. Unsere Maschinen lesen Tageszeitungen und stellen Artikel zum gleichen Thema aus verschiedenen Ländern zusammen. Das ist interessant, weil die Berichterstattung zumeist national gefärbt ist. Ein regelmäßiger Vergleich kann den Horizont erweitern. Klicken Sie unter google.com auf "News and Resources" und dann "Check out the Google news search". Oder User Interfaces. Wie bringt man den Benutzer dazu, mehr als zwei Wörter einzutippen? Je mehr Wörter er ansagt, desto besser können wir ihn bedienen.
    Date
    31.12.1996 19:29:41
    2. 8.2002 14:39:29
  19. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.02 
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    Date
    22. 2.1997 19:50:29
  20. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.02 
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    Abstract
    This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing

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