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《《IRamp;amp;WMLes00-2016S》.pdf
InformationInformation RetrievalRetrieval WebWeb MiningMining
Course Introduction
Dong Shoubin (董守斌)
sbdong@
Communication Computer Network Laboratory (CCNL) ,SCUT
((华南理工大学广东省计算机网络重点实验室华南理工大学广东省计算机网络重点实验室))
Information Retrieval (IR) Web Mining
• Information retrieval: the retrieval of
documents
Concerned firstly with retrieving relevant documents
to a query.
Concerned secondly with retrieving from large sets
off documents effiffi ciientlly .
• WebWeb miningmining
Discovery, analysis and utilization of useful
informationinformation fromfrom thethe WorldWorld WideWide WebWeb
2
“We are living in exponential times “
Information Overload
((信息过载信息过载))
• “I’m definingg information overload as a state of
having more information available that one can
readilyy assimilate,, that is,, ppeopple have difficultyy
absorbing the information into their base of
knowledgge. This hinders decision-makingg and
judgment by causing stress and cognitive
imppediments such as confusion,, uncertaintyy
and distraction”
- SteveSteve BellerBeller
Why Information Overload?
• A rapidly increasing rate of new information being
produced
• The ease of duplication and transmission of data across
thethe InternetInternet
• An increase in the available channels of incoming
information ((e.gg. telepphone,, e-mail,, instant messagging,g,
RSS)
• Large amounts of historical information to dig through
• Contradictions and inaccuracies in available information
• AA llow siignall-tto-noiise ratitio
• A lack of a method for comparing and processing
differentdifferent kindskinds ofof informationinformation
How to Deal With it?
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