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: 16. Dezember 2019)
1Hu, X.-H. (Hrsg.): Wang, H. ; Song, Y.-Q. ; Wang, L.-T.: Memory model for web ad effect based on multimodal features.
In: Journal of the Association for Information Science and Technology. 71(2020) no.1, S.16-28.
Abstract: Web ad effect evaluation is a challenging problem in web marketing research. Although the analysis of web ad effectiveness has achieved excellent results, there are still some deficiencies. First, there is a lack of an in-depth study of the relevance between advertisements and web content. Second, there is not a thorough analysis of the impacts of users and advertising features on user browsing behaviors. And last, the evaluation index of the web advertisement effect is not adequate. Given the above problems, we conducted our work by studying the observer's behavioral pattern based on multimodal features. First, we analyze the correlation between ads and links with different searching results and further assess the influence of relevance on the observer's attention to web ads using eye-movement features. Then we investigate the user's behavioral sequence and propose the directional frequent-browsing pattern algorithm for mining the user's most commonly used browsing patterns. Finally, we offer the novel use of "memory" as a new measure of advertising effectiveness and further build an advertising memory model with integrated multimodal features for predicting the efficacy of web ads. A large number of experiments have proved the superiority of our method.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24214.
2Wang, H. ; Hong, M.: Supervised Hebb rule based feature selection for text classification.
In: Information processing and management. 56(2019) no.1, S.167-191.
Abstract: Text documents usually contain high dimensional non-discriminative (irrelevant and noisy) terms which lead to steep computational costs and poor learning performance of text classification. One of the effective solutions for this problem is feature selection which aims to identify discriminative terms from text data. This paper proposes a method termed "Hebb rule based feature selection (HRFS)". HRFS is based on supervised Hebb rule and assumes that terms and classes are neurons and select terms under the assumption that a term is discriminative if it keeps "exciting" the corresponding classes. This assumption can be explained as "a term is highly correlated with a class if it is able to keep "exciting" the class according to the original Hebb postulate. Six benchmarking datasets are used to compare HRFS with other seven feature selection methods. Experimental results indicate that HRFS is effective to achieve better performance than the compared methods. HRFS can identify discriminative terms in the view of synapse between neurons. Moreover, HRFS is also efficient because it can be described in the view of matrix operation to decrease complexity of feature selection.
Inhalt: Vgl.: https://doi.org/10.1016/j.ipm.2018.09.004.
Themenfeld: Automatisches Klassifizieren
3Haraty, M. ; Wang, Z. ; Wang, H. ; Iqbal, S. ; Teevan, J.: Design and in-situ evaluation of a mixed-initiative approach to information organization.
In: Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2211-2224.
Abstract: Organizing personal information by folders or tags has proved to be effective for finding, remembering, and understanding information. However, past studies have shown that the cost of organization can be too high for some users to be worth the effort. Mixed-initiative approaches attempt to reduce the burden of manual organization by automatically identifying and suggesting organizational units such as folders to users. However, little is known about how such mixed-initiative approaches influence users' organizational experiences. In this paper, we explore a mixed-initiative approach that suggests high-level organizational units to users to facilitate e-mail organization. In 2 in-situ experiments with 34 knowledge workers, we study how our mixed-initiative approach influenced users' experience with organization. We show that our approach made it easier to create organizational units without negatively affecting recall of those units, and led to the creation of units that otherwise would have not been created. Our findings suggest ways computers and people can most effectively work together to organize information.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23823/full.
4Wang, H. ; Liu, Q. ; Penin, T. ; Fu, L. ; Zhang, L. ; Tran, T. ; Yu, Y. ; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data.
In: Web semantics: science, services and agents on the World Wide Web. 7(2009) no.3, S.177-188.
Abstract: The Web of Data keeps growing rapidly. However, the full exploitation of this large amount of structured data faces numerous challenges like usability, scalability, imprecise information needs and data change. We present Semplore, an IR-based system that aims at addressing these issues. Semplore supports intuitive faceted search and complex queries both on text and structured data. It combines imprecise keyword search and precise structured query in a unified ranking scheme. Scalable query processing is supported by leveraging inverted indexes traditionally used in IR systems. This is combined with a novel block-based index structure to support efficient index update when data changes. The experimental results show that Semplore is an efficient and effective system for searching the Web of Data and can be used as a basic infrastructure for Web-scale Semantic Web search engines.
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S1570826809000262.
Themenfeld: Semantic Web ; Wissensrepräsentation
5Zhang, L. ; Liu, Q.L. ; Zhang, J. ; Wang, H.F. ; Pan, Y. ; Yu, Y.: Semplore: an IR approach to scalable hybrid query of Semantic Web data.
In: Proceeding ISWC'07/ASWC'07 : Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference. Ed.: K. Aberer et al. Berlin : Springer, 2007. S.652-665.
(Lecture notes in computer science; 4825)
Abstract: As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we briefy describe how Semplore is used for searching Wikipedia and an IBM customer's product information.
Inhalt: Vgl.: http://mathcs.emory.edu/~qliu26/docs/iswc07.pdf.
Themenfeld: Semantic Web ; Wissensrepräsentation
6Huang, M.-h. ; Wang, H.-y.: ¬The influence of document presentation order and number of documents judged an users' judgments of relevance.
In: Journal of the American Society for Information Science and Technology. 55(2004) no.11, S.970-979.
Abstract: This article attempts to verify the hypothesis of the document presentation order by an empirical, two-stage experiment. It aims to identify the relationship between number of documents judged and order effect. The results indicate that significant order effect takes place when 15 and 30 documents are presented. Sets with 45 and 60 documents still reveal the order effect. However, subjects are not influenced by order of presentation when the set of documents has 5 and 75 members, respectively.
Themenfeld: Retrievalstudien ; Benutzerstudien
7Watters, C. ; Wang, H.: Rating new documents for similarity.
In: Journal of the American Society for Information Science. 51(2000) no.9, S.793-804.
Abstract: Electronic news has long held the promise of personalized and dynamic delivery of current event new items, particularly for Web users. Although wlwctronic versions of print news are now widely available, the personalization of that delivery has not yet been accomplished. In this paper, we present a methodology of associating news documents based on the extraction of feature phrases, where feature phrases identify dates, locations, people and organizations. A news representation is created from these feature phrases to define news objects that can then be compared and ranked to find related news items. Unlike tradtional information retrieval, we are much more interested in precision than recall. That is, the user would like to see one or more specifically related articles, rather than all somewhat related articles. The algorithm is designed to work interactively the the user using regular web browsers as the interface
Behandelte Form: Zeitungen
9Xie, M. ; Wang, H. ; Goh, T.N.: Quality dimensions of Internet search engines.
In: Journal of information science. 24(1998) no.5, S.365-372.
Abstract: Reviews the most common Internet search engines: AltaVista; Excite; InfoSeek; Lycos; HotBot and WebCrawler, focusing on the existing comparative studies of the search engines. Views the quality dimensions of the search engines, based on a SERVQUAL framework, in order to approach the problem from the users' viewpoint. Identifies and groups the most important quality expectations of users into 5 quality dimensions, using the SERVQUAL model: tangibles; reliability; responsiveness; assurance; and empathy
Objekt: AltaVista ; Excite ; InfoSeek ; Lycos ; HotBot ; WebCrawler
10Wang, H. ; Wang, C.: Ontologies for universal information systems.
In: Journal of information science. 21(1995) no.3, S.232-239.
Abstract: The increasing complexity of problems addressed by massively distributed information systems has led to the development of worldwide information systems, such as the WWW and Hyper-G. Presents a conceptual framework for those systems using a knowledge representation language, Telos, by concentrating on the semantics of their domains. The framework is developed and based on careful analysis and abstraction of those existing systems. By creating a rich and precise conceptual framework, provides a foundation for the specification and implementation of future universal information systems.
Anmerkung: e-mail: email@example.com
Objekt: WWW ; Hyper-G