-
Tillett, B.B.: RDA, or, The long journey of the catalog to the digital age (2016)
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- Abstract
- RDA was created in response to complaints about the Anglo-American Cataloguing Rules, especially the call for a more international, principle-based content standard that takes the perspective of the conceptual models of FRBR (Functional Requirements for Bibliographic Records) and FRAD (Functional Requirements for Authority Data). The past and ongoing process for continuous improvement to RDA is through the Joint Steering Committee for Development of RDA (known as the JSC, but recently renamed the RDA Steering Committee - RSC) to make RDA even more international and principle-based.
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- a
-
Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017)
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- Abstract
- A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access storage. The future occurrences of a query whose results are already stored in the cache can be directly served by the result cache, eliminating the need to process the query using costly computing resources. Although other performance metrics are possible, the main performance metric for evaluating the success of a result cache is hit rate. In this work, we present a machine learning approach to improve the hit rate of a result cache by facilitating a large number of features extracted from search engine query logs. We then apply the proposed machine learning approach to static, dynamic, and static-dynamic caching. Compared to the previous methods in the literature, the proposed approach improves the hit rate of the result cache up to 0.66%, which corresponds to 9.60% of the potential room for improvement.
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- a
-
Arapakis, I.; Cambazoglu, B.B.; Lalmas, M.: On the feasibility of predicting popular news at cold start (2017)
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- Abstract
- Prominent news sites on the web provide hundreds of news articles daily. The abundance of news content competing to attract online attention, coupled with the manual effort involved in article selection, necessitates the timely prediction of future popularity of these news articles. The future popularity of a news article can be estimated using signals indicating the article's penetration in social media (e.g., number of tweets) in addition to traditional web analytics (e.g., number of page views). In practice, it is important to make such estimations as early as possible, preferably before the article is made available on the news site (i.e., at cold start). In this paper we perform a study on cold-start news popularity prediction using a collection of 13,319 news articles obtained from Yahoo News, a major news provider. We characterize the popularity of news articles through a set of online metrics and try to predict their values across time using machine learning techniques on a large collection of features obtained from various sources. Our findings indicate that predicting news popularity at cold start is a difficult task, contrary to the findings of a prior work on the same topic. Most articles' popularity may not be accurately anticipated solely on the basis of content features, without having the early-stage popularity values.
- Type
- a
-
Podgornik, B.B.; Dolnicar, D.; Sorgo, A.; Bartol, T.: Development, testing, and validation of an information literacy test (ILT) for higher education (2016)
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- Abstract
- A new information literacy test (ILT) for higher education was developed, tested, and validated. The ILT contains 40 multiple-choice questions (available in Appendix) with four possible answers and follows the recommendations of information literacy (IL) standards for higher education. It assesses different levels of thinking skills and is intended to be freely available to educators, librarians, and higher education managers, as well as being applicable internationally for study programs in all scientific disciplines. Testing of the ILT was performed on a group of 536 university students. The overall test analysis confirmed the ILT reliability and discrimination power as appropriate (Cronbach's alpha 0.74; Ferguson's delta 0.97). The students' average overall achievement was 66%, and IL increased with the year of study. The students were less successful in advanced database search strategies, which require a combination of knowledge, comprehension, and logic, and in topics related to intellectual property and ethics. A group of 163 students who took a second ILT assessment after participating in an IL-specific study course achieved an average posttest score of 78.6%, implying an average IL increase of 13.1%, with most significant improvements in advanced search strategies (23.7%), and in intellectual property and ethics (12.8%).
- Type
- a
-
Arapakis, I.; Lalmas, M.; Cambazoglu, B.B.; MarcosM.-C.; Jose, J.M.: User engagement in online news : under the scope of sentiment, interest, affect, and gaze (2014)
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- Abstract
- Online content providers, such as news portals and social media platforms, constantly seek new ways to attract large shares of online attention by keeping their users engaged. A common challenge is to identify which aspects of online interaction influence user engagement the most. In this article, through an analysis of a news article collection obtained from Yahoo News US, we demonstrate that news articles exhibit considerable variation in terms of the sentimentality and polarity of their content, depending on factors such as news provider and genre. Moreover, through a laboratory study, we observe the effect of sentimentality and polarity of news and comments on a set of subjective and objective measures of engagement. In particular, we show that attention, affect, and gaze differ across news of varying interestingness. As part of our study, we also explore methods that exploit the sentiments expressed in user comments to reorder the lists of comments displayed in news pages. Our results indicate that user engagement can be anticipated predicted if we account for the sentimentality and polarity of the content as well as other factors that drive attention and inspire human curiosity.
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- a
-
Tillett, B.B.: Complementarity of perspectives for resource descriptions (2015)
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- Abstract
- Bibliographic data is used to describe resources held in the collections of libraries, archives and museums. That data is mostly available on the Web today and mostly as linked data. Also on the Web are the controlled vocabulary systems of name authority files, like the Virtual International Authority File (VIAF), classification systems, and subject terms. These systems offer their own linked data to potentially help users find the information they want - whether at their local library or anywhere in the world that is willing to make their resources available. We have found it beneficial to merge authority data for names on a global level, as the entities are relatively clear. That is not true for subject concepts and terminology that have categorisation systems developed according to varying principles and schemes and are in multiple languages. Rather than requiring everyone in the world to use the same categorisation/classification system in the same language, we know that the Web offers us the opportunity to add descriptors assigned around the world using multiple systems from multiple perspectives to identify our resources. Those descriptors add value to refine searches, help users worldwide and share globally what each library does locally.
- Source
- Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro
- Type
- a
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Abstract
- On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
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- a
-
Cronin, B.: Thinking about data (2013)
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- Date
- 22. 3.2013 16:18:36
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Grudin, J.: Human-computer interaction (2011)
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- Date
- 27.12.2014 18:54:22
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Schöne neue Welt? : Fragen und Antworten: Wie Facebook menschliche Gedanken auslesen will (2017)
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- Date
- 22. 7.2004 9:42:33
22. 4.2017 11:58:05
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Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017)
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- Date
- 22. 4.2017 10:42:05
22. 4.2017 10:48:38
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Poscher, R.: ¬Die Zukunft der informationellen Selbstbestimmung als Recht auf Abwehr von Grundrechtsgefährdungen (2012)
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- Date
- 22. 2.2018 12:06:44
22. 2.2018 12:13:53
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Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019)
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- Footnote
- https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
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Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011)
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Sauperl, S.A.: UDC as a standardisation method for providing titles of documents (2015)
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Xiao, G.: ¬A knowledge classification model based on the relationship between science and human needs (2013)
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