Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Tang, R. ; Mehra, B. ; Du, J.T. ; Zhao, Y.C.: Paradigm shift in the field of information.
  In: Journal of the Association for Information Science and Technology. 72(2021) no.10, S.1217-1222.
  (Special issue: Paradigm shift in the field of information)
  
  Abstract: Special issue editorial
  
  Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24566.
  
  Themenfeld: Information
  
  
• 2
  Li, D. ; Luo, Z. ; Ding, Y. ; Tang, J. ; Sun, G.G.-Z. ; Dai, X. ; Du, J. ; Zhang, J. ; Kong, S.: User-level microblogging recommendation incorporating social influence.
  In: Journal of the Association for Information Science and Technology. 68(2017) no.3, S.553-568.
  
  Abstract: With the information overload of user-generated content in microblogging, users find it extremely challenging to browse and find valuable information in their first attempt. In this paper we propose a microblogging recommendation algorithm, TSI-MR (Topic-Level Social Influence-based Microblogging Recommendation), which can significantly improve users' microblogging experiences. The main innovation of this proposed algorithm is that we consider social influences and their indirect structural relationships, which are largely based on social status theory, from the topic level. The primary advantage of this approach is that it can build an accurate description of latent relationships between two users with weak connections, which can improve the performance of the model; furthermore, it can solve sparsity problems of training data to a certain extent. The realization of the model is mainly based on Factor Graph. We also applied a distributed strategy to further improve the efficiency of the model. Finally, we use data from Tencent Weibo, one of the most popular microblogging services in China, to evaluate our methods. The results show that incorporating social influence can improve microblogging performance considerably, and outperform the baseline methods.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23681/full.
  
  Themenfeld: Internet
  
  
• 3
  Du, J. ; Tang, X. ; Wu, Y.: ¬The effects of research level and article type on the differences between citation metrics and F1000 recommendations.
  In: Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3008-3021.
  
  Abstract: F1000 recommendations were assessed as a potential data source for research evaluation, but the reasons for differences between F1000 Article Factor (FFa scores) and citations remain unexplored. By linking recommendations for 28,254 publications in F1000 with citations in Scopus, we investigated the effect of research level (basic, clinical, mixed) and article type on the internal consistency of assessments based on citations and FFa scores. The research level has little impact on the differences between the 2 evaluation tools, while article type has a big effect. These 2 measures differ significantly for 2 groups: (a) nonprimary research or evidence-based research are more highly cited but not highly recommended, while (b) translational research or transformative research are more highly recommended but have fewer citations. This can be expected, since citation activity is usually practiced by academic authors while the potential for scientific revolutions and the suitability for clinical practice of an article should be investigated from a practitioners' perspective. We conclude with a recommendation that the application of bibliometric approaches in research evaluation should consider the proportion of 3 types of publications: evidence-based research, transformative research, and translational research. The latter 2 types are more suitable for assessment through peer review.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23548/full.
  
  Themenfeld: Informetrie
  
  
• 4
  Arif, A.S.M. ; Du, J.T. ; Lee, I.: Understanding tourists' collaborative information retrieval behavior to inform design.
  In: Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2285-2303.
  
  Abstract: With the rapid development of information and communication technologies, people are increasingly referring to web information to assist in their travel planning and decision making. Research shows that people conduct collaborative information searches while planning their travel activities online. However, little is known in depth about tourists' online collaborative search. This study examines tourists' collaborative information search behavior in detail, including their search stages, online search strategies, and information flow breakdowns. The data for analysis included pre- and postsearch questionnaires, web search and chat logs, and postsearch interviews. A model of tourist collaborative information retrieval was developed. The model identified collaborative planning, collaborative information searching, sharing of information, and collaborative decision making as four stages of tourists' collaborative search. The results show that tourists collaborated by planning their search strategies, dividing search tasks into subtasks and allocating workload, using search queries and URL links recommended by teammates, and discussing search results together. Related personal knowledge and experiences appeared important in trip planning and collaborative information search. During the collaborative search, tourists also encountered various information flow breakdowns in different search stages. These were classified and their effects on collaborative information search were reported. Implications for system design in support of collaborative information retrieval in travel contexts are also discussed.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23319/abstract.
  
  
  
• 5
  Du, J.T.: ¬The information journey of marketing professionals : incorporating work task-driven information seeking, information judgments, information use, and information sharing.
  In: Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1850-1869.
  
  Abstract: Marketing professionals' work activities are heavily reliant on access to and the use of large amounts of quality information. This study aims to examine the information journey experienced by marketing professionals, including task-driven information seeking, information judgments, information use, and information sharing, from a more contextualized and holistic viewpoint. The information journey presents a more comprehensive picture of user-information interaction than is usually offered in the literature. Using a diary method and post-diary in-depth interviews, data consisting of 1,198 diary entries relating to 101 real work tasks were collected over a period of 5 work days. The data were used to ascertain characteristics of the stages of marketing professionals' information journeys as well as the relationships between them. Five stages of the information journey, including determining the need for work task-generated information, seeking such information, judging and evaluating the information found, making sense of and using the obtained information, and sharing the obtained or assembled information, were identified. The information journey also encompassed types of gaps and gap-bridge techniques that occurred during information seeking and use. Based on the empirical findings, an information journey model was developed. The implications for information systems design solutions that enable different stages of the information journey to be linked together are also discussed.
  
  
  
• 6
  Spink, A. ; Du, J.T.: Toward a Web search model : integrating multitasking, cognitive coordination, and cognitive shifts.
  In: Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1446-1472.
  
  Abstract: Limited research has investigated the role of multitasking, cognitive coordination, and cognitive shifts during web search. Understanding these three behaviors is crucial to web search model development. This study aims to explore characteristics of multitasking behavior, types of cognitive shifts, and levels of cognitive coordination as well as the relationship between them during web search. Data collection included pre- and postquestionnaires, think-aloud protocols, web search logs, observations, and interviews with 42 graduate students who conducted 315 web search sessions with 221 information problems. Results show that web search is a dynamic interaction including the ordering of multiple information problems and the generation of evolving information problems, including task switching, multitasking, explicit task and implicit mental coordination, and cognitive shifting. Findings show that explicit task-level coordination is closely linked to multitasking, and implicit cognitive-level coordination is related to the task-coordination process; including information problem development and task switching. Coordination mechanisms directly result in cognitive state shifts including strategy, evaluation, and view states that affect users' holistic shifts in information problem understanding and knowledge contribution. A web search model integrating multitasking, cognitive coordination, and cognitive shifts (MCC model) is presented. Implications and further research also are discussed.
  
  Themenfeld: Internet ; Benutzerstudien