A bandwidth friendly search engine

Bradford, Clare; Marshall, Ian

doi:10.1109/mmcs.1999.778573

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…These solutions have been used during various kinds of research for years. The first papers describing such systems in the IEEExplore database are from the late 1990s, for example, [ 35 , 36 ].…”

Section: Proposed Solutionmentioning

confidence: 99%

Deep Learning for Combating Misinformation in Multicategorical Text Contents

Kozik,

Mazurczyk,

Cabaj

et al. 2023

Sensors

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Currently, one can observe the evolution of social media networks. In particular, humans are faced with the fact that, often, the opinion of an expert is as important and significant as the opinion of a non-expert. It is possible to observe changes and processes in traditional media that reduce the role of a conventional ‘editorial office’, placing gradual emphasis on the remote work of journalists and forcing increasingly frequent use of online sources rather than actual reporting work. As a result, social media has become an element of state security, as disinformation and fake news produced by malicious actors can manipulate readers, creating unnecessary debate on topics organically irrelevant to society. This causes a cascading effect, fear of citizens, and eventually threats to the state’s security. Advanced data sensors and deep machine learning methods have great potential to enable the creation of effective tools for combating the fake news problem. However, these solutions often need better model generalization in the real world due to data deficits. In this paper, we propose an innovative solution involving a committee of classifiers in order to tackle the fake news detection challenge. In that regard, we introduce a diverse set of base models, each independently trained on sub-corpora with unique characteristics. In particular, we use multi-label text category classification, which helps formulate an ensemble. The experiments were conducted on six different benchmark datasets. The results are promising and open the field for further research.

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Section: Proposed Solutionmentioning

confidence: 99%

Deep Learning for Combating Misinformation in Multicategorical Text Contents

Kozik,

Mazurczyk,

Cabaj

et al. 2023

Sensors

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“…The exploitation of proxy cache contents to optimize information selectivity was already studied (Dodge 1995, Bradford 1999, Frakes et al 1992, Lancieri 1997, Wittenburg 1995, but these studies mainly deal with indexing of textual contents. The objective is to supply, as in the case of a search engine, the URL of documents (document reference and not the document itself) contained in the cache from keyword inputs by users.…”

Section: Combining Information Selectivity and Access Speedmentioning

confidence: 99%

Reusing Implicit Cooperation. A Novel Approach to Knowledge Management

Lancieri

1970

tripleC

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Abstract:The study described in this paper deals with information reuse obtained by implicit co-operation, particularly by recycling the contents of a proxy cache (shared memory). The objective is to automatically feed a Web server with large multimedia objects implicitly centred on community fields of interests. We show that the strategy of reusing previously downloaded information provides interesting advantages at a low cost; in particular, to reduce Web access time, to improve information retrieval, and to reduce Internet bandwidth use. Moreover, we use the conceptual frameworks of forgetting and collective intelligence to develop a model on which the operation of implicit cooperation is based.

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