‫ﺍﺟﺘﻤﺎﻋﻲ‬ ‫ﻫﺎﻱ‬‫ﺷﺒﻜﻪ‬ ‫ﺩﺭ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬
‫ﻛﻨﻨﺪﻩ‬ ‫ﺍﺭﺍﺋﻪ‬:
‫ﻣﻬﺮﻳﺰﻱ‬ ‫ﺍﺑﻮﻳﻲ‬ ‫ﺍﻓﺴﺎﻧﻪ‬
‫ﺳﻤﻴﻨﺎﺭ‬ ‫ﺍﺳﺘﺎﺩ‬:‫ﺷﺠﺮﻱ‬ ‫ﺩﻛﺘﺮ‬ ‫ﺁ...
‫ﻛﻠﻲ‬ ‫ﻃﺮﺡ‬
.1‫ﺗﻌﺮﻳﻒ‬:‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬
.2‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺿﺮﻭﺭﺕ‬
.3‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺳﺘﺎﻭﺭﺩﻫﺎﻱ‬
.4‫ﭘﺎﺳﺦ‬ ‫ﻭ‬ ‫ﭘﺮﺳﺶ...
1-‫ﺗﻌﺮﻳﻒ‬:‫ﺷﻨﺎﺳﺎﻳﻲ‬‫ﺧﺒﺮﮔﺎﻥ‬
•‫ﻛﻨﻔﺮﺍﻧﺲ‬ ‫ﺩﺭ‬ ‫ﺑﺎﺭ‬ ‫ﺍﻭﻟﻴﻦ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬TREC 2005]2[‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬.
•‫ﻭ‬ ‫ﺩﺍﻧـﺶ‬ ‫ﺩﺍﺭﺍﻱ‬ ...
2-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺿﺮﻭﺭﺕ‬
•Web 2.0‫ﺍﺳﺖ‬ ‫ﺷﺪﻩ‬ ‫ﮔﺬﺍﺷﺘﻪ‬ ‫ﺍﺷﺘﺮﺍﻙ‬ ‫ﺑﻪ‬ ‫ﻣﺤﺘﻮﺍﻱ‬ ‫ﻭ‬ ‫ﺩﺍﻧﺶ‬ ‫ﺍﺯ‬ ‫ﺍﻱ‬‫ﮔﻨﺠﻴﻨﻪ‬.
•‫ﺑﺮﺩﺍﺭﺩ‬ ‫...
3-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺳﺘﺎﻭﺭﺩﻫﺎﻱ‬
•‫ﮔﻴﺮﻱ‬‫ﺑﻬﺮﻩ‬‫ﻓﻜﺮﻱ‬‫ﻫﻢ‬ ‫ﻭ‬ ‫ﻣﺸﻮﺭﺕ‬ ‫ﺍﺯ‬‫ﻣﺘﺨﺼﺼﺎﻥ‬
•‫ﺑﻪ‬ ‫ﻳﺎﺑﻲ‬‫ﺩﺳﺖ‬ ‫ﺯﻣﺎﻥ‬ ‫ﻛﺎﻫﺶ‬‫ﻣﻮﺭﺩ‬ ...
4-‫ﭘﺎﺳﺦ‬ ‫ﻭ‬ ‫ﭘﺮﺳﺶ‬ ‫ﻫﺎﻱ‬‫ﺍﻧﺠﻤﻦ‬
•‫ﭘﺎﺳـﺦ‬ ‫ﺁﻥ‬ ‫ﺑـﻪ‬ ‫ﻛـﺎﺭﺑﺮﺍﻥ‬ ‫ﺳـﺎﻳﺮ‬ ‫ﻭ‬ ‫ﺷـﻮﺩ‬‫ﻣـﻲ‬ ‫ﻣﻄـﺮﺡ‬ ‫ﻛـﺎﺭﺑﺮ‬ ‫ﻳـﻚ‬ ‫ﻃﺮﻑ‬ ‫ﺍﺯ‬ ...
5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬
‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬
‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬
‫ﺍﻳﺠﺎﺩ‬
‫ﭘﺮﻭﻓﺎﻳﻞ‬
‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬
•‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫...
5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬
‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬
‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬
‫ﺍﻳﺠﺎﺩ‬
‫ﭘﺮﻭﻓﺎﻳﻞ‬
‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬
•‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫...
5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬
‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬
‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬
‫ﺍﻳﺠﺎﺩ‬
‫ﭘﺮﻭﻓﺎﻳﻞ‬
‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬
•‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫...
6-‫ﻫﺎ‬ ‫ﻭﺍژﻩ‬ ‫ﺩﻫﻲ‬‫ﻭﺯﻥ‬
•‫ﺑﺮ‬ ‫ﻣﺒﺘﻨﻲ‬ ‫ﻫﺎﻱ‬‫ﺭﻭﺵ‬ ‫ﺗﺮﻛﻴﺐ‬ ‫ﺣﺎﺻﻞ‬ ‫ﻛﻪ‬ ‫ﺑﺎﺷﺪ‬‫ﻣﻲ‬ ‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﺩﻫﻲ‬‫ﻭﺯﻥ‬ ‫ﺭﻭﺵ‬ ‫ﺗﺮﻳﻦ‬‫ﺭﺍﻳﺞ‬T...
7-‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬PageRank
•‫ﺗﻮﺳﻂ‬‫ﺳﺮﮔﻲ‬ ‫ﻭ‬ ‫ﭘﻴﺞ‬ ‫ﻟﺮﻱ‬‫ﺑﺮﻳﻦ‬‫ﺳﺎﻝ‬ ‫ﺩﺭ‬1998‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬.
•‫ﺍﺑﺘﺪﺍ‬ ‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺍﻳﻦ‬PR‫ﺍﻋﻤـﺎﻝ‬ ‫ﺭﺍ...
8-‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬HITS
•‫ﺳﺎﻝ‬ ‫ﺩﺭ‬ ‫ﻛﻠﻴﻨﺒﺮگ‬ ‫ﺟﺎﻥ‬ ‫ﺗﻮﺳﻂ‬1998‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬.
•‫ﺷﻮﺩ‬‫ﻣﻲ‬ ‫ﺍﻋﻤﺎﻝ‬ ‫ﺟﺴﺘﺠﻮ‬ ‫ﺍﺯ‬ ‫ﺣﺎﺻﻞ‬ ‫ﻧﻮﺩﻫﺎﻱ‬ ‫ﺍﺯ‬ ‫...
9-‫ﻣﻘﺎﻻﺕ‬ ‫ﺍﺭﺯﻳﺎﺑﻲ‬ ‫ﻣﻌﻴﺎﺭﻫﺎﻱ‬
]6[]7[]8[]10[]9[]14[]11[]12[]13[Evaluation
Factors
Knowledge Score
Reputation Score
Aut...
10-‫ﺑﻨﺪﻱ‬‫ﺟﻤﻊ‬
•‫ﻫﺎﻱ‬‫ﺭﻭﺵ‬‫ﺑﺮ‬ ‫ﻣﺒﺘﻨﻲ‬‫ﻣﻮﺭﺩ‬ ‫ﭘﻴﻮﻧﺪﻫﺎ‬ ‫ﺗﺤﻠﻴﻞ‬‫ﺍﺳﺖ‬ ‫ﮔﺮﻓﺘﻪ‬ ‫ﻗﺮﺍﺭ‬ ‫ﺗﺎﻛﻴﺪ‬.
•‫ﺗـﻮﺍﻥ‬‫ﻣـﻲ‬ ‫ﻛـﺎﺭﺑﺮﺍﻥ‬ ‫ﺍﺟﺘﻤ...
11-‫ﻣﻨﺎﺑﻊ‬
Reflections on pedagogy: Reframing practice to foster informal learning with social software A Bartlett-Bragg, ...
‫ﺷﻤﺎ‬ ‫ﺗﻮﺟﻪ‬ ‫ﺍﺯ‬ ‫ﺗﺸﻜﺮ‬ ‫ﺑﺎ‬
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Expert Finding in Social Networks

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Expert Finding in Social Networks

  1. 1. ‫ﺍﺟﺘﻤﺎﻋﻲ‬ ‫ﻫﺎﻱ‬‫ﺷﺒﻜﻪ‬ ‫ﺩﺭ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﻛﻨﻨﺪﻩ‬ ‫ﺍﺭﺍﺋﻪ‬: ‫ﻣﻬﺮﻳﺰﻱ‬ ‫ﺍﺑﻮﻳﻲ‬ ‫ﺍﻓﺴﺎﻧﻪ‬ ‫ﺳﻤﻴﻨﺎﺭ‬ ‫ﺍﺳﺘﺎﺩ‬:‫ﺷﺠﺮﻱ‬ ‫ﺩﻛﺘﺮ‬ ‫ﺁﻗﺎﻱ‬ ‫ﺟﻨﺎﺏ‬ ‫ﻣﺸﺎﻭﺭ‬ ‫ﺍﺳﺘﺎﺩ‬:‫ﻛﺎﺭﺩﺍﻥ‬ ‫ﺩﻛﺘﺮ‬ ‫ﺁﻗﺎﻱ‬ ‫ﺟﻨﺎﺏ‬ ‫ﭘﺎﻳﻴﺰ‬92 ‫ﺍﻣﻴﺮﻛﺒﻴﺮ‬ ‫ﺻﻨﻌﺘﻲ‬ ‫ﺩﺍﻧﺸﮕﺎﻩ‬ )‫ﺗﻬﺮﺍﻥ‬ ‫ﺗﻜﻨﻴﻚ‬ ‫ﭘﻠﻲ‬( ‫ﺗﻌﺎﻟﻲ‬ ‫ﺑﺴﻤﻪ‬ ‫ﺍﺭﺷﺪ‬ ‫ﻛﺎﺭﺷﻨﺎﺳﻲ‬ ‫ﺳﻤﻴﻨﺎﺭ‬ ‫ﺍﻟﻜﺘﺮﻭﻧﻴﻚ‬ ‫ﺗﺠﺎﺭﺕ‬ ‫ﮔﺮﺍﻳﺶ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﻓﻨﺎﻭﺭﻱ‬ ‫ﺭﺷﺘﻪ‬ ‫ﺩﺭ‬
  2. 2. ‫ﻛﻠﻲ‬ ‫ﻃﺮﺡ‬ .1‫ﺗﻌﺮﻳﻒ‬:‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ .2‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺿﺮﻭﺭﺕ‬ .3‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺳﺘﺎﻭﺭﺩﻫﺎﻱ‬ .4‫ﭘﺎﺳﺦ‬ ‫ﻭ‬ ‫ﭘﺮﺳﺶ‬ ‫ﻫﺎﻱ‬‫ﺍﻧﺠﻤﻦ‬)UIQA( .5‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬ .6‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﺩﻫﻲ‬‫ﻭﺯﻥ‬ .7‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬PageRank .8‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬HITS .9‫ﻣﻘﺎﻻﺕ‬ ‫ﺍﺭﺯﻳﺎﺑﻲ‬ ‫ﻣﻌﻴﺎﺭﻫﺎﻱ‬ .10‫ﺑﻨﺪﻱ‬ ‫ﺟﻤﻊ‬
  3. 3. 1-‫ﺗﻌﺮﻳﻒ‬:‫ﺷﻨﺎﺳﺎﻳﻲ‬‫ﺧﺒﺮﮔﺎﻥ‬ •‫ﻛﻨﻔﺮﺍﻧﺲ‬ ‫ﺩﺭ‬ ‫ﺑﺎﺭ‬ ‫ﺍﻭﻟﻴﻦ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬TREC 2005]2[‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬. •‫ﻭ‬ ‫ﺩﺍﻧـﺶ‬ ‫ﺩﺍﺭﺍﻱ‬ ‫ﻛـﻪ‬ ‫ﺍﻳﻨﺘﺮﻧـﺖ‬ ‫ﻓﻀـﺎﻱ‬ ‫ﺩﺭ‬ ‫ﺍﺷـﺨﺎﺹ‬ ‫ﻳﺎ‬ ‫ﺷﺨﺺ‬ ‫ﺗﺮﻳﻦ‬‫ﻣﻨﺎﺳﺐ‬ ‫ﻳﺎﻓﺘﻦ‬ ‫ﺑﺎﺷﻨﺪ‬ ‫ﮔﺸﺎ‬ ‫ﺭﺍﻩ‬ ‫ﺳﺎﻳﺮﻳﻦ‬ ‫ﻣﺸﻜﻼﺕ‬ ‫ﻳﺎ‬ ‫ﻣﺴﺎﺋﻞ‬ ‫ﺣﻞ‬ ‫ﺩﺭ‬ ‫ﺑﺘﻮﺍﻧﻨﺪ‬ ‫ﻭ‬ ‫ﺑﻮﺩﻩ‬ ‫ﻻﺯﻡ‬ ‫ﻣﻬﺎﺭﺕ‬. ‫ﺩﺍﺭﺩ؟‬ ‫ﺑﻴﺸﺘﺮﻱ‬ ‫ﺩﺍﻧﺶ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﺍﻳﻦ‬ ‫ﺩﺭ‬ ‫ﻛﺴﻲ‬ ‫ﭼﻪ‬
  4. 4. 2-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺿﺮﻭﺭﺕ‬ •Web 2.0‫ﺍﺳﺖ‬ ‫ﺷﺪﻩ‬ ‫ﮔﺬﺍﺷﺘﻪ‬ ‫ﺍﺷﺘﺮﺍﻙ‬ ‫ﺑﻪ‬ ‫ﻣﺤﺘﻮﺍﻱ‬ ‫ﻭ‬ ‫ﺩﺍﻧﺶ‬ ‫ﺍﺯ‬ ‫ﺍﻱ‬‫ﮔﻨﺠﻴﻨﻪ‬. •‫ﺑﺮﺩﺍﺭﺩ‬ ‫ﺩﺭ‬ ‫ﻧﻴﺰ‬ ‫ﻫﺎﻳﻲ‬‫ﭘﻴﭽﻴﺪﮔﻲ‬ ‫ﺍﻣﺎ‬: ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﻭ‬ ‫ﺩﺍﺩﻩ‬ ‫ﺍﻧﺒﻮﻩ‬ ‫ﻣﻴﺎﻥ‬ ‫ﺩﺭ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﺳﺮﺩﺭﮔﻤﻲ‬ ‫ﻭﺏ‬ ‫ﻓﻀﺎﻱ‬ ‫ﺩﺭ‬ ‫ﻣﻮﺟﻮﺩ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﻭ‬ ‫ﺩﺍﺩﻩ‬ ‫ﻫﻤﭙﻮﺷﺎﻧﻲ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﻛﻴﻔﻴﺖ‬ ‫ﻛﻨﺘﺮﻝ‬ ‫ﻋﺪﻡ‬‫ﻭ‬ ‫ﻫﺎ‬‫ﻭﺑﻼگ‬ ،‫ﻫﺎ‬‫ﺳﺎﻳﺖ‬ ‫ﺩﺭ‬ ‫ﺍﻧﺘﺸﺎﺭ‬ ‫ﺍﺯ‬ ‫ﭘﻴﺶ‬... ‫ﺩﺭﻳﺎﻓﺘﻲ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﺻﺤﺖ‬ ‫ﺍﺯ‬ ‫ﺍﻃﻤﻴﻨﺎﻥ‬ ‫ﻋﺪﻡ‬ ‫ﻧﻴﺎﺯ‬ ‫ﻣﻮﺭﺩ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﺑﻪ‬ ‫ﻳﺎﺑﻲ‬‫ﺩﺳﺖ‬ ‫ﺑﺮﺍﻱ‬ ‫ﻃﻮﻻﻧﻲ‬ ‫ﺍﻧﺘﻈﺎﺭ‬ ‫ﺯﻣﺎﻥ‬ ‫ﺑﻴﺎﺑﻴﻢ؟‬ ‫ﺭﺍ‬ ‫ﻧﻴﺎﺯﺧﻮﺩ‬ ‫ﻣﻮﺭﺩ‬ ‫ﺍﻃﻼﻋﺎﺕ‬ ‫ﺯﻣﺎﻥ‬ ‫ﺗﺮﻳﻦ‬ ‫ﻛﻮﺗﺎﻩ‬ ‫ﺩﺭ‬ ‫ﭼﮕﻮﻧﻪ‬
  5. 5. 3-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺳﺘﺎﻭﺭﺩﻫﺎﻱ‬ •‫ﮔﻴﺮﻱ‬‫ﺑﻬﺮﻩ‬‫ﻓﻜﺮﻱ‬‫ﻫﻢ‬ ‫ﻭ‬ ‫ﻣﺸﻮﺭﺕ‬ ‫ﺍﺯ‬‫ﻣﺘﺨﺼﺼﺎﻥ‬ •‫ﺑﻪ‬ ‫ﻳﺎﺑﻲ‬‫ﺩﺳﺖ‬ ‫ﺯﻣﺎﻥ‬ ‫ﻛﺎﻫﺶ‬‫ﻣﻮﺭﺩ‬ ‫ﺩﺍﻧﺶ‬‫ﻧﻴﺎﺯ‬ •‫ﺍﻓﺰﺍﻳﺶ‬‫ﺳﺮﻋﺖ‬‫ﺩﺍﻧﺶ‬ ‫ﺍﻧﺘﻘﺎﻝ‬ ‫ﺩﺭ‬ ‫ﻛﻴﻔﻴﺖ‬ ‫ﻭ‬ •‫ﺍﻃﻤﻴﻨﺎﻥ‬ ‫ﻛﺴﺐ‬‫ﺻﺤﺖ‬ ‫ﺍﺯ‬‫ﺩﺭﻳﺎﻓﺘﻲ‬ ‫ﺩﺍﻧﺶ‬ ‫ﺩﻗﺖ‬ ‫ﻭ‬ •‫ﺟﻤﻌﻲ‬ ‫ﺧﺮﺩ‬ ‫ﻭ‬ ‫ﻫﻮﺵ‬ ‫ﭘﺸﺘﻴﺒﺎﻧﻲ‬ ‫ﻭ‬ ‫ﺣﻤﺎﻳﺖ‬ ‫ﺍﺯ‬ ‫ﮔﻴﺮﻱ‬‫ﺑﻬﺮﻩ‬ •‫ﺷﺪﻩ‬ ‫ﮔﺬﺍﺷﺘﻪ‬‫ﺍﺷﺘﺮﺍﻙ‬ ‫ﺑﻪ‬ ‫ﺩﺍﻧﺶ‬ ‫ﻛﻴﻔﻴﺖ‬ ‫ﺑﻬﺒﻮﺩ‬
  6. 6. 4-‫ﭘﺎﺳﺦ‬ ‫ﻭ‬ ‫ﭘﺮﺳﺶ‬ ‫ﻫﺎﻱ‬‫ﺍﻧﺠﻤﻦ‬ •‫ﭘﺎﺳـﺦ‬ ‫ﺁﻥ‬ ‫ﺑـﻪ‬ ‫ﻛـﺎﺭﺑﺮﺍﻥ‬ ‫ﺳـﺎﻳﺮ‬ ‫ﻭ‬ ‫ﺷـﻮﺩ‬‫ﻣـﻲ‬ ‫ﻣﻄـﺮﺡ‬ ‫ﻛـﺎﺭﺑﺮ‬ ‫ﻳـﻚ‬ ‫ﻃﺮﻑ‬ ‫ﺍﺯ‬ ‫ﭘﺮﺳﺸﻲ‬ ‫ﺩﻫﻨﺪ‬‫ﻣﻲ‬. •‫ﺯﻣﻴ‬ ‫ﺩﺭ‬ ‫ﻫﺎ‬‫ﭘﺮﺳﺶ‬‫ﻨﻪ‬‫ﺑﺎﺷﻨﺪ‬‫ﻣﻲ‬ ‫ﻣﺨﺘﻠﻒ‬ ‫ﻣﻮﺿﻮﻋﺎﺕ‬. •‫ﺑﺪﻫﻨﺪ‬ ‫ﺭﺃﻱ‬ ‫ﻭ‬ ‫ﻧﻈﺮ‬ ‫ﺳﺎﻳﺮﻳﻦ‬ ‫ﭘﺎﺳﺦ‬ ‫ﻣﻮﺭﺩ‬ ‫ﺩﺭ‬ ‫ﺗﻮﺍﻧﻨﺪ‬‫ﻣﻲ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬. •‫ﻧﺸﻮﺩ‬ ‫ﺩﺍﺩﻩ‬ ‫ﭘﺎﺳﺦ‬ ‫ﻫﺮﮔﺰ‬ ‫ﭘﺮﺳﺸﻲ‬ ‫ﺗﺎ‬ ‫ﺷﻮﺩ‬ ‫ﺑﺎﻋﺚ‬ ‫ﺍﺳﺖ‬ ‫ﻣﻤﻜﻦ‬ ‫ﻫﺎ‬‫ﭘﺮﺳﺶ‬ ‫ﺑﺎﻻﻱ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﺷﻮﺩ‬ ‫ﺩﺍﺩﻩ‬ ‫ﭘﺎﺳﺦ‬ ‫ﻣﺘﺨﺼﺺ‬ ‫ﻏﻴﺮ‬ ‫ﻓﺮﺩﻱ‬ ‫ﺗﻮﺳﻂ‬ ‫ﻳﺎ‬ ‫ﻭ‬. ‫ﻛﻤﻚ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺗﺨﺼﺼﻲ‬ ‫ﻣﻮﺿﻮﻉ‬ ‫ﺑﺎ‬ ‫ﻣﺮﺗﺒﻂ‬ ‫ﻫﺎﻱ‬‫ﭘﺮﺳﺶ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬ ‫ﭘﺎﺳﺦ‬ ‫ﺍﻧﺘﻈﺎﺭ‬ ‫ﺯﻣﺎﻥ‬ ‫ﻛﺎﻫﺶ‬ ‫ﻭ‬ ‫ﻛﻴﻔﻴﺖ‬ ‫ﺍﻓﺰﺍﻳﺶ‬ ‫ﺩﺭ‬ ‫ﺷﺎﻳﺎﻧﻲ‬ ‫ﻛﻨﺪ‬‫ﻣﻲ‬.
  7. 7. 5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬ ‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬ ‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬ ‫ﺍﻳﺠﺎﺩ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬ •‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺗﻐﻴﻴﺮ‬ •‫ﺯﺍﺋﺪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺣﺬﻑ‬ •‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﻭﺯﻥ‬ ‫ﻣﺤﺎﺳﺒﻪ‬ )TF-IDF‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﺍﻳﻦ‬ ‫ﺩﺭ‬ ‫ﭘﺮﻛﺎﺭﺑﺮﺩ‬(
  8. 8. 5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬ ‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬ ‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬ ‫ﺍﻳﺠﺎﺩ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬ •‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺗﻐﻴﻴﺮ‬ •‫ﺯﺍﺋﺪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺣﺬﻑ‬ •‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﻭﺯﻥ‬ ‫ﻣﺤﺎﺳﺒﻪ‬ )TF-IDF‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﺍﻳﻦ‬ ‫ﺩﺭ‬ ‫ﭘﺮﻛﺎﺭﺑﺮﺩ‬( ‫ﻛﺎﺭﺑﺮ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬: •‫ﻫﺎ‬‫ﻓﻌﺎﻟﻴﺖ‬ ‫ﺳﺎﺑﻘﻪ‬ •‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﺳﺎﻳﺮ‬ ‫ﻧﻈﺮ‬ ‫ﻭ‬ ‫ﺭﺃﻱ‬ •‫ﻛﺎﺭﺑﺮ‬ ‫ﻫﺎﻱ‬‫ﭘﺎﺳﺦ‬ ‫ﺍﻣﺘﻴﺎﺯ‬ •‫ﻫﺎ‬‫ﭘﺎﺳﺦ‬ ‫ﺑﻬﺘﺮﻳﻦ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﭘﺮﺳﺶ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬-‫ﭘﺎﺳﺦ‬: •‫ﭘﺮﺳﺶ‬ ‫ﺳﺨﺘﻲ‬ ‫ﺩﺭﺟﻪ‬ •‫ﻫﺎﻱ‬‫ﻛﺎﻣﻨﺖ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬ •‫ﭘﺮﺳﺶ‬-‫ﻣﺸﺎﺑﻪ‬ ‫ﻫﺎﻱ‬‫ﭘﺎﺳﺦ‬
  9. 9. 5-‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﺷﻨﺎﺳﺎﻳﻲ‬ ‫ﺩﺭ‬ ‫ﺭﺍﻳﺞ‬ ‫ﺭﺍﻫﻜﺎﺭﻫﺎﻱ‬ ‫ﭘﺮﺩﺍﺯﺵ‬ ‫ﭘﻴﺶ‬ ‫ﻫﺎ‬‫ﺩﺍﺩﻩ‬ ‫ﺍﻳﺠﺎﺩ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬ ‫ﺧﺒﺮﮔﺎﻥ‬ ‫ﭘﻴﺸﻨﻬﺎﺩ‬ •‫ﺭﻳﺸﻪ‬ ‫ﺑﻪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺗﻐﻴﻴﺮ‬ •‫ﺯﺍﺋﺪ‬ ‫ﻛﻠﻤﺎﺕ‬ ‫ﺣﺬﻑ‬ •‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﻭﺯﻥ‬ ‫ﻣﺤﺎﺳﺒﻪ‬ )TF-IDF‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﺍﻳﻦ‬ ‫ﺩﺭ‬ ‫ﭘﺮﻛﺎﺭﺑﺮﺩ‬( ‫ﻛﺎﺭﺑﺮ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬: •‫ﻫﺎ‬‫ﻓﻌﺎﻟﻴﺖ‬ ‫ﺳﺎﺑﻘﻪ‬ •‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﺳﺎﻳﺮ‬ ‫ﻧﻈﺮ‬ ‫ﻭ‬ ‫ﺭﺃﻱ‬ •‫ﻛﺎﺭﺑﺮ‬ ‫ﻫﺎﻱ‬‫ﭘﺎﺳﺦ‬ ‫ﺍﻣﺘﻴﺎﺯ‬ •‫ﻫﺎ‬‫ﭘﺎﺳﺦ‬ ‫ﺑﻬﺘﺮﻳﻦ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﻭ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﺭﻭﺍﺑﻂ‬ ‫ﺗﺤﻠﻴﻞ‬ ‫ﺍﺳﺎﺱ‬ ‫ﺑﺮ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﺑﻨﺪﻱ‬‫ﺭﺗﺒﻪ‬: •‫ﺗﺨﺼﺺ‬ ‫ﺍﻣﺘﻴﺎﺯ‬ •‫ﺷﻬﺮﺕ‬ ‫ﺍﻣﺘﻴﺎﺯ‬ •... ‫ﭘﺮﺳﺶ‬ ‫ﭘﺮﻭﻓﺎﻳﻞ‬-‫ﭘﺎﺳﺦ‬: •‫ﭘﺮﺳﺶ‬ ‫ﺳﺨﺘﻲ‬ ‫ﺩﺭﺟﻪ‬ •‫ﻫﺎﻱ‬‫ﻛﺎﻣﻨﺖ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﻛﺎﺭﺑﺮﺍﻥ‬ •‫ﭘﺮﺳﺶ‬-‫ﻣﺸﺎﺑﻪ‬ ‫ﻫﺎﻱ‬‫ﭘﺎﺳﺦ‬
  10. 10. 6-‫ﻫﺎ‬ ‫ﻭﺍژﻩ‬ ‫ﺩﻫﻲ‬‫ﻭﺯﻥ‬ •‫ﺑﺮ‬ ‫ﻣﺒﺘﻨﻲ‬ ‫ﻫﺎﻱ‬‫ﺭﻭﺵ‬ ‫ﺗﺮﻛﻴﺐ‬ ‫ﺣﺎﺻﻞ‬ ‫ﻛﻪ‬ ‫ﺑﺎﺷﺪ‬‫ﻣﻲ‬ ‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﺩﻫﻲ‬‫ﻭﺯﻥ‬ ‫ﺭﻭﺵ‬ ‫ﺗﺮﻳﻦ‬‫ﺭﺍﻳﺞ‬TF‫ﻭ‬ ‫ﺑﺮ‬ ‫ﻣﺒﺘﻨﻲ‬ ‫ﻫﺎﻱ‬‫ﺭﻭﺵ‬IDF‫ﺍﺳﺖ‬. •TF‫ﻭ‬ ‫ﻣﺘﻦ‬ ‫ﻳﻚ‬ ‫ﺩﺭ‬ ‫ﻭﺍژﻩ‬ ‫ﺗﻜﺮﺍﺭ‬ ‫ﻓﺮﻛﺎﻧﺲ‬IDF‫ﻣﺴـﺘﻨﺪﺍﺕ‬ ‫ﻣﺠﻤﻮﻋـﻪ‬ ‫ﻣﻴﺎﻥ‬ ‫ﺩﺭ‬ ‫ﻭﺍژﻩ‬ ‫ﺗﻮﺯﻳﻊ‬ ‫ﺑﺎﺷﺪ‬‫ﻣﻲ‬ ‫ﻧﻈﺮ‬ ‫ﻣﻮﺭﺩ‬ ‫ﻭﺍژﻩ‬ ‫ﺣﺎﻭﻱ‬. •،‫ﻭﺍژﻩ‬ ‫ﻣﺸﺎﻫﺪﻩ‬ ‫ﻣﺤﻞ‬ ‫ﻭﺯﻥ‬ ‫ﺍﺯ‬ ‫ﻣﺴﺘﻘﻞ‬ ‫ﺍﺳﺎﺱ‬ ‫ﺍﻳﻦ‬ ‫ﺑﺮ‬‫ﺗـﺄﺛﻴﺮ‬ ‫ﺗﻮﺍﻧـﺪ‬‫ﻣـﻲ‬ ‫ﺁﻥ‬ ‫ﺗﻜـﺮﺍﺭ‬ ‫ﻓﺮﻛـﺎﻧﺲ‬ ‫ﺍﻓﺰﺍﻳﺶ‬ ‫ﺩﺭ‬ ‫ﺑﺴﻴﺎﺭﻱ‬TFIDF‫ﺑﺎﺷﺪ‬ ‫ﺩﺍﺷﺘﻪ‬ ‫ﺁﻥ‬. •‫ﺍﺳﺖ‬ ‫ﻣﻨﺎﺳﺐ‬ ‫ﺍﻫﻤﻴﺖ‬ ‫ﺑﺎ‬ ‫ﻫﺎﻱ‬‫ﻭﺍژﻩ‬ ‫ﺳﺎﺧﺘﻦ‬ ‫ﻣﺘﻤﺎﻳﺰ‬ ‫ﺑﺮﺍﻱ‬ ‫ﺭﻭﺵ‬ ‫ﺍﻳﻦ‬. ‫ﻛﻤﺘﺮ‬ ،‫ﻫﺴﺘﻨﺪ‬ ‫ﻣﻮﺭﺩﻧﻈﺮ‬ ‫ﻭﺍژﻩ‬ ‫ﺩﺍﺭﺍﻱ‬ ‫ﻛﻪ‬ ‫ﻣﺴﺘﻨﺪﺍﺗﻲ‬ ‫ﺗﻌﺪﺍﺩ‬ ‫ﻫﺮﭼﻪ‬ ‫ﺍﺳﺖ‬ ‫ﺗﺮ‬‫ﻣﻨﺎﺳﺐ‬ ‫ﻣﺘﻦ‬ ‫ﺳﺎﺯﻱ‬ ‫ﻣﺘﻤﺎﻳﺰ‬ ‫ﺑﺮﺍﻱ‬ ‫ﻭﺍژﻩ‬ ،‫ﺑﺎﺷﺪ‬.
  11. 11. 7-‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬PageRank •‫ﺗﻮﺳﻂ‬‫ﺳﺮﮔﻲ‬ ‫ﻭ‬ ‫ﭘﻴﺞ‬ ‫ﻟﺮﻱ‬‫ﺑﺮﻳﻦ‬‫ﺳﺎﻝ‬ ‫ﺩﺭ‬1998‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬. •‫ﺍﺑﺘﺪﺍ‬ ‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺍﻳﻦ‬PR‫ﺍﻋﻤـﺎﻝ‬ ‫ﺭﺍ‬ ‫ﺟﺴـﺘﺠﻮ‬ ‫ﺳـﭙﺲ‬ ،‫ﻛـﺮﺩﻩ‬ ‫ﻣﺤﺎﺳـﺒﻪ‬ ‫ﺭﺍ‬ ‫ﻧـﻮﺩ‬ ‫ﻫﺮ‬ ‫ﻛﻨﺪ‬‫ﻣﻲ‬. ‫ﭘﻴﻮﻧﺪ‬ ‫ﻭﺟﻮﺩ‬‫ﻳﻚ‬ ‫ﺍﺯ‬‫ﻧﻮﺩ‬ ‫ﺑﻪ‬ ‫ﻧﻮﺩ‬‫ﻧﻔـﻮﺫ‬ ‫ﺩﻫﻨﺪﻩ‬‫ﻧﺸﺎﻥ‬ ‫ﺿﻤﻨﻲ‬ ‫ﻃﻮﺭ‬ ‫ﺑﻪ‬ ‫ﺩﻳﮕﺮ‬‫ﻧـﻮﺩ‬‫ﻣﻘﺼـﺪ‬ ‫ﺍﺳﺖ‬. ‫ﭘﻴﻮﻧﺪ‬‫ﺍﺯ‬ ‫ﺭﺳﻴﺪﻩ‬‫ﻧﻮﺩﻱ‬‫ﺍﻫﻤﻴﺖ‬ ‫ﺑﺎ‬،‫ﺑﺎﻻﺗﺮ‬‫ﺍﺯ‬ ‫ﺭﺳـﻴﺪﻩ‬ ‫ﭘﻴﻮﻧـﺪ‬ ‫ﺑﻪ‬ ‫ﻧﺴﺒﺖ‬ ‫ﺑﻴﺸﺘﺮﻱ‬ ‫ﺍﺭﺯﺵ‬ ‫ﻧﻮﺩﻱ‬‫ﺩﺍﺭﺩ‬ ‫ﻛﻤﺘﺮ‬ ‫ﺍﺭﺯﺵ‬ ‫ﺑﺎ‬.
  12. 12. 8-‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬HITS •‫ﺳﺎﻝ‬ ‫ﺩﺭ‬ ‫ﻛﻠﻴﻨﺒﺮگ‬ ‫ﺟﺎﻥ‬ ‫ﺗﻮﺳﻂ‬1998‫ﺷﺪ‬ ‫ﻣﻄﺮﺡ‬. •‫ﺷﻮﺩ‬‫ﻣﻲ‬ ‫ﺍﻋﻤﺎﻝ‬ ‫ﺟﺴﺘﺠﻮ‬ ‫ﺍﺯ‬ ‫ﺣﺎﺻﻞ‬ ‫ﻧﻮﺩﻫﺎﻱ‬ ‫ﺍﺯ‬ ‫ﺍﻱ‬‫ﻣﺠﻤﻮﻋﻪ‬ ‫ﺯﻳﺮ‬ ‫ﺭﻭﻱ‬ ‫ﺍﻟﮕﻮﺭﻳﺘﻢ‬ ‫ﺍﻳﻦ‬. •‫ﻣﻘﺎﺩﻳﺮ‬ ‫ﻧﻮﺩ‬ ‫ﻫﺮ‬ ‫ﺑﺮﺍﻱ‬authority‫ﻭ‬hub‫ﺷﻮﺩ‬‫ﻣﻲ‬ ‫ﻣﺤﺎﺳﺒﻪ‬: hub:‫ﺑﻪ‬ ‫ﻛﻪ‬ ‫ﻧﻮﺩﻱ‬authority‫ﺍﺳﺖ‬ ‫ﺩﺍﺩﻩ‬ ‫ﭘﻴﻮﻧﺪ‬ ‫ﻫﺎ‬. authority:‫ﺍﺯ‬ ‫ﻛﻪ‬ ‫ﻧﻮﺩﻱ‬hub‫ﺩﺍﺭﺩ‬ ‫ﻭﺭﻭﺩﻱ‬ ‫ﭘﻴﻮﻧﺪ‬ ‫ﻫﺎ‬. •‫ﺍﺯ‬ ‫ﺍﺳﺘﻔﺎﺩﻩ‬hub‫ﻭ‬ ‫ﻫﺎ‬authority‫ﺗﻌﺮﻳﻒ‬ ‫ﻣﻨﻈﻮﺭ‬ ‫ﺑﻪ‬ ‫ﻫﺎ‬ ‫ﮔﻴﺮﺩ‬‫ﻣﻲ‬ ‫ﺻﻮﺭﺕ‬ ‫ﻧﻮﺩﻫﺎ‬ ‫ﺑﻴﻦ‬ ‫ﺑﺎﺯﮔﺸﺘﻲ‬ ‫ﺭﺍﺑﻄﻪ‬.
  13. 13. 9-‫ﻣﻘﺎﻻﺕ‬ ‫ﺍﺭﺯﻳﺎﺑﻲ‬ ‫ﻣﻌﻴﺎﺭﻫﺎﻱ‬ ]6[]7[]8[]10[]9[]14[]11[]12[]13[Evaluation Factors Knowledge Score Reputation Score Authority Score Voting Score Answer Quality Score Answer Relevance Score Profile Similarity Post Counts User Activity User Records Latent links Best Answers User Relationships Question Difficulty Levels Date of Q&A
  14. 14. 10-‫ﺑﻨﺪﻱ‬‫ﺟﻤﻊ‬ •‫ﻫﺎﻱ‬‫ﺭﻭﺵ‬‫ﺑﺮ‬ ‫ﻣﺒﺘﻨﻲ‬‫ﻣﻮﺭﺩ‬ ‫ﭘﻴﻮﻧﺪﻫﺎ‬ ‫ﺗﺤﻠﻴﻞ‬‫ﺍﺳﺖ‬ ‫ﮔﺮﻓﺘﻪ‬ ‫ﻗﺮﺍﺭ‬ ‫ﺗﺎﻛﻴﺪ‬. •‫ﺗـﻮﺍﻥ‬‫ﻣـﻲ‬ ‫ﻛـﺎﺭﺑﺮﺍﻥ‬ ‫ﺍﺟﺘﻤـﺎﻋﻲ‬ ‫ﺭﻓﺘﺎﺭﻫﺎﻱ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﺩﺭ‬ ‫ﭘﻴﻮﻧﺪﻫﺎ‬ ‫ﺗﺤﻠﻴﻞ‬ ‫ﻛﺎﺭﮔﻴﺮﻱ‬‫ﺑﻪ‬ ‫ﺑﺎ‬ ‫ﻧﻤﻮﺩ‬ ‫ﺍﻳﺠﺎﺩ‬ ‫ﻣﻨﺎﺳﺒﻲ‬ ‫ﺳﻨﺠﺶ‬ ‫ﻣﻌﻴﺎﺭﻫﺎﻱ‬. •‫ﺷﻮﺩ‬‫ﻣﻲ‬ ‫ﺗﺮ‬‫ﺩﻗﻴﻖ‬ ‫ﻧﺘﺎﻳﺞ‬ ‫ﺑﻪ‬ ‫ﻣﻨﺠﺮ‬ ‫ﻫﺎ‬‫ﻭﺍژﻩ‬ ‫ﻛﺎﺭﺑﺮﺩ‬ ‫ﺯﻣﻴﻨﻪ‬ ‫ﻭ‬ ‫ﻣﻌﻨﺎﻳﻲ‬ ‫ﺍﺭﺗﺒﺎﻁ‬ ‫ﺑﺮ‬ ‫ﺗﻤﺮﻛﺰ‬. •‫ﻣﺴﺘﻘﻴﻢ‬ ‫ﺭﻭﺍﺑﻂ‬ ‫ﺑﻪ‬ ‫ﺗﻮﺟﻪ‬‫ﻛﺎﺭﺑﺮﺍﻥ‬ ‫ﻏﻴﺮﻣﺴﺘﻘﻴﻢ‬ ‫ﻭ‬‫ﺍﺳﺖ‬ ‫ﻻﺯﻡ‬. •‫ﻫﺎ‬‫ﺍﺭﺯﻳﺎﺑﻲ‬ ‫ﻧﺘﺎﻳﺞ‬ ‫ﻣﺎﻧﻨﺪ‬ ‫ﻣﻌﻴﺎﺭﻫﺎﻳﻲ‬ ‫ﺍﺯ‬ ‫ﺍﺳﺘﻔﺎﺩﻩ‬‫ﺑـﻪ‬ ‫ﻛـﻪ‬ ‫ﻫـﺎﻳﻲ‬‫ﭘﺎﺳﺦ‬ ‫ﻭ‬ ‫ﻫﺎ‬‫ﮔﻴﺮﻱ‬ ‫ﺭﺍﻱ‬ ، ‫ﻋﻨﻮﺍﻥ‬"‫ﭘﺎﺳﺦ‬ ‫ﺑﻬﺘﺮﻳﻦ‬"‫ﺍﻧﺘﺨﺎﺏ‬‫ﺭﺍ‬ ‫ﺧﺒﺮﮔـﺎﻥ‬ ‫ﺷﻨﺎﺳـﺎﻳﻲ‬ ‫ﺭﺍﻫﻜـﺎﺭ‬ ‫ﻛﻴﻔﻴـﺖ‬ ،‫ﺍﻧﺪ‬‫ﺷﺪﻩ‬ ‫ﺩﻫﺪ‬‫ﻣﻲ‬ ‫ﺍﻓﺰﺍﻳﺶ‬.
  15. 15. 11-‫ﻣﻨﺎﺑﻊ‬ Reflections on pedagogy: Reframing practice to foster informal learning with social software A Bartlett-Bragg, A Bartlett Retrieved March, 2006 - matchsz.inf.elte.hu [1] N. Craswell, A. P. de Vries, and I. Soboroff, “Overview of the TREC-2005 enterprise track” in Proceedings of the 14th Text REtrieval Conference, NIST Special Publication, 2005 [2] M.Najork, “Web Spam Detection”, Springer Verlag, 2009[3] S. Brin, L. Page, “The Anatomy of Large Scale Hypertexual Web Search Engine”, Computer Networks, 1998[4] S. Brin and L. Page, R. Motwami. “The PageRank Citation Ranking: Bringing Order to Web”, Technical Report, Computer Science Department, Stanford University. 1999 [5] Duen-Ren Liu,Yu-Hsuan Chen, Wei-Chen Kao, Hsiu-Wen Wang, “Integrating expert profile, reputation and link analysis for expert findingin question-answering websites”, Information Processing and Management,Volume 49, Issue 1, January 2013 [6] VeselkaBoeva and Maria Krusheva, Elena Tsiporkova, “Measuring Expertise Similarity in Expert Networks”, 6th IEEE International Conference on Intelligent Systems (IS), 2012 [7] Yanyan Li, Shaoqian Ma, Yonghe Zhang, Ronghuai Huang, “Expertise Network Discovery via Topic and Link Analysis in Online Communities”, 12th IEEE International Conference on Advanced Learning Technologies, 2012 [8] Yao Lu, XiaojunQuan, Xingliang Ni, Wenyin Liu, YinlongXu, “Latent Link Analysis for Expert Finding in User- Interactive Question Answering Services”, Fifth International Conference on Semantics, Knowledge and Grid, 2009 [9] Yao lu, Xiaojun Quan, Jingsheng Lei, “Semantic Link Analysis for Finding Answer Experts”, Journal of Information Science and Engineering, Volume 28, January 2012 [10] JI-MENG CHEN, JIE LIU, YA-LOU HUANG, MIN LU, “Effiecient Top-K Support Documents for Expert Search Using Relationship in a Social Network”, Proceedings of the 2011 International Conference on Machine Learning and Cybernetics, Guilin, 10-13 July, 2011 [11] Ahmad Kardan, Amin Omidvar, Farzad Farahmandnia, “Expert Finding on Social Network with Link Analysis Approach”, 19th Iranian Conference on Electrical Engineering (ICEE), 2011 [12] Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan and Deng Cai, “Co-Occurrence- Based Diffusion for Expert Search on the Web”, IEEE Transactions on Knowledge and Data Engineering, vol. 25, 2013 [13] TheodorosLappas, Kun Liu, EvimariaTerzi, “Finding a Team of Experts in Social Networks”, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009 [14]
  16. 16. ‫ﺷﻤﺎ‬ ‫ﺗﻮﺟﻪ‬ ‫ﺍﺯ‬ ‫ﺗﺸﻜﺮ‬ ‫ﺑﺎ‬ ?

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