Posted by: TARONO on: April 29, 2007
作業爆多 光是寫個 paper report 就寫到快暈倒了
本來想去玩玩 netflix dataset
但又覺得心有餘而力不足
研究之路真的不好走 總覺得有點格式化 …
得要找找動力來繼續努力啦 ～
Posted by: TARONO on: April 29, 2007
Paper
C. Matuszek, M. Witbrock, R. Kahlert, J. Cabral, D. Schneider, P. Shah and D.B. Lenat. Searching for Common Sense: Populating Cyc from the Web. In Proceedings of the Twentieth National Conference on Artificial Intelligence, Pittsburgh, Pennsylvania, July 2005.
Report
The paper proposed a mechanism for automating the process of gathering common sense for Cyc knowledge base from [...]
Posted by: TARONO on: April 29, 2007
Paper
D. B. Lenat. CYC: A Large-Scale Investment in Knowledge Infrastructure. Communication of the ACM, vol 38, pages 32-38, November, 1995.
Report
The paper introduce an AI project called CYC , which is ambitious to gather a comprehensive ontology of everyday common sense knowledge. CYC is a rule based system which contains millions of facts and rules describing [...]
Posted by: TARONO on: April 29, 2007
Paper
A. Blum and M. Furst. Fast planning through planning graph analysis. In Proceedings of the International Joint Conference of Artificial Intelligence, pages 1636-1642, August 1995.
Report
The paper proposed a mechanism for solving planning problem using a compact structure called planning graph. The planner Graphplan used in this paradigm can always return the shortest plan or answers [...]
Posted by: TARONO on: April 19, 2007
家人的期待
小時後的夢想
與小乖的甜美回憶
曾經困苦過的日子
我本該過著極端的生活
追求極致的刺激 快樂 悲傷
不應該放任自己沉浸在祥和的日子之中
還有很多事情還沒做好
家人是無法陪伴自己一輩子的
一切都得靠自己
醒醒吧
Posted by: TARONO on: April 17, 2007
Netflix data set : 有好幾十億的資料，若要轉成 user-item matrix
做分析，則會因為 scale 太大而難以處理。
Solution : Apply SVD ( Singular Vector Decomposition) to the matrix.
SVD 可以把原始的 matrix 降至更低維度，並且保持一些性質 (待check)。
想法 : 幫每個movie定義一個 feature vactor，vector中的每個tuple代表
此movie某方面的性質，比如動作成分佔多高要素。相對的每個user也有
preference vector，vector中的每個tuple代表對movie中的每個性質之喜
好程度。
So let user A’s preference vector is = ( 1 , 2 , -1 )
let Movie M’s feature vector is = ( 1 , 4 , [...]
