Retrieve several values using an equivalent to the 'match' function

I have two dataframes:

df1 <- data.frame(c('j','g','e'), c(5,8,3))
colnames(df1) <- c('person', 'number')

df2 <- data.frame(c('p','j','w','e','j','e','j'), c('a','b','c','f','l','m','n'))
colnames(df2)<-c('person','other')

And I want to retrieve values from df2$'other' based on matches between df1$'person' and df2$'person'. I used the following code:

result <- df2[match(df1$person, df2$'person'), 'other']

But I only obtain the value from the first match.

Is there any easy way, if possible in 'base R', to obtain all the matches? In this case, three values from 'j' and two values from 'e'. I'm working with big dataframes so I'm looking for an economic and fast solution.
When I use this I got all the entries for 'j':

df2$'person'=='j'

Match will only give the first match.
In your case merge will give the desired result.

merge(df1, df2)
#  person number other
#1      e      3     f
#2      e      3     m
#3      j      5     b
#4      j      5     l
#5      j      5     n

Using %in%:

df2[ df2$person %in% df1$person, ]
# or without column names, compare 1st columns
# df2[ df2[[1]] %in% df1[[1]], ]

#   person other
# 2      j     b
# 4      e     f
# 5      j     l
# 6      e     m
# 7      j     n