Consider a document with the following contents
" Levenshtein distance is named after the Russian scientist Vladimir
Levenshtein and is also called edit distance"
Possible bi-grams are (after removing the stop words in the beginning
and end)
"Levenshtein distance", "named after", "Russian scientist", "scientist
Vladimir", "Vladimir Levenshtein" called edit", "edit distance"
If my query term is "Vladimir levenshtein distance", how does Lucene
compute the similarity to the indexed terms? Are query terms appearing
together given more importance? How does it account for gaps (caused by
stop word removal) while matching multiword query?
thanks,
Rajesh Munavalli
" Levenshtein distance is named after the Russian scientist Vladimir
Levenshtein and is also called edit distance"
Possible bi-grams are (after removing the stop words in the beginning
and end)
"Levenshtein distance", "named after", "Russian scientist", "scientist
Vladimir", "Vladimir Levenshtein" called edit", "edit distance"
If my query term is "Vladimir levenshtein distance", how does Lucene
compute the similarity to the indexed terms? Are query terms appearing
together given more importance? How does it account for gaps (caused by
stop word removal) while matching multiword query?
thanks,
Rajesh Munavalli