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The Relevance of Informationand Computer Systems #1
Transcript of The Relevance of Informationand Computer Systems #1
Ph.D Walter Teixeira Lima Junior
Cásper Líbero Foundation - Brazil
Presentation funded by
New Orleans University - July 12, 2011
Transmission broadcasting system
Choosing the content depends on calibrating
the content to meet the desired response
"the filters of reality"
Letters-to-the-editor (newspapers and magazines)
Telephone (responding to radio or television)
Precludes any interaction
between the emitter and the audience
Standard Model of Professsional Journalism
Multidirectional exchange of data
New Media Platforms
Altered model of relationship between audience and information
These systems collect information on the behavior of individual, including contributions and references provided by other people
Users discover new information,
allowing them to automatically
share or recommend the news
that they find interesting
RS are characterized by the cross-fertilization
of various research fields
Information Retrieval, Artificial Intelligence,
Knowledge Representation, Discovery and
Data/Text Mining, Computational Learning, and
Intelligent and Adaptive Agents. RS is necessary
for catering the varied needs and contexts of users,
and the different platforms they use
Relevant Social Information
New ecosystem information
The Relevance of Information
and Computer Systems
Two categories of relevance are
interacting on the web’s ecosystem
An ecosystem based on algorithms and
that evolves through greater "transparency".
Users find it difficult to differentiate
between information produced and
edited by human beings, and those
― treated by relevance systems.
Only users involved in programming
and systems manage to distinguish
Systems are designed primarily
to respond to information that
is potentially relevant to people
Relevance has been around forever,
or as long as humans have been communicating
and using information effectively
Credibility is built over time and
has as its basis social relevance.
Analog Media is based on information scarcity