问题
ios d.0 d.1 d.2 d.3 d.4 d.5
1 190371877 HDa 2Pb 2 BxU BuQ Bve
2 190890807 HCK 2Pb 2 09 F G
3 193999742 HDa 2Pb 2 1wL 1ye
4 192348099 HDa 2Pb 2 2WP
5 194907960 HDa 2Pb 2 Y F G
6 194306872 HDa 2Pb 2 2WP
7 190571682 HDa 2Pb 2 i F C
8 195878080 HDa 2Pb 2 Y F G
9 195881580 HDa 2Pb 2 Y F G
10 193746161 HDa 2Pb 2 1wL
Here is my codes below.ı just able to done for compare 2 vectors and now ı want to built a function
library('lsa')
td = tempfile()
dir.create(td)
write( c("HDa","2Pb","2","BxU","BuQ","Bve"), file=paste(td, "D1", sep="/"))
write( c("HCK","2Pb","2","09","F","G"), file=paste(td, "D2", sep="/"))
myMatrix = textmatrix(td, minWordLength=1)
res <- lsa::cosine(myMatrix[,1], myMatrix[,2])
res
#0.3333
I have a matrix 266 row and 7 column like above.First column is my product's id and the others are product's definitive tags. If ı want to have my own function and give a 2 input one is a definitive tag vector(like c("HDa","2Pb","2","BxU","BuQ","Bve")) and the other is a product id(ios). As a result I want to see true or false(1 or 0) among top 8 product which most similar to product id's vector.
Can anyone give me a clue about what should ı do for solve my problem?
来源:https://stackoverflow.com/questions/34062909/how-can-i-built-a-function-that-calculate-cosine-similarity-in-language-r