Best Technique for find Similar Elements in Sets with Widely Varying Numbers of Attributes
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I have a data set containing millions of items collected from many disparate sources. Each item contains a list of anywhere from fifty to a thousand attributes. The specific attributes available vary greatly from item to item.
I am looking for the best way to find the most similar items in the set, to a given target item, without doing a brute force search.
I would like to use something like Locality Sensitive Hashing with MinHash. However, if the target item has 50 attributes and a likely matching item within the larger data set has 200, MinHash will consider these as dissimilar even if the item with 200 attributes contains all of the attributes of the target item.
What are the best techniques or algorithms to use to compare items with dissimilar numbers of attributes?
data
asked 6 hours ago
Anthony GatlinAnthony Gatlin
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$begingroup$
I have a data set containing millions of items collected from many disparate sources. Each item contains a list of anywhere from fifty to a thousand attributes. The specific attributes available vary greatly from item to item.
I am looking for the best way to find the most similar items in the set, to a given target item, without doing a brute force search.
I would like to use something like Locality Sensitive Hashing with MinHash. However, if the target item has 50 attributes and a likely matching item within the larger data set has 200, MinHash will consider these as dissimilar even if the item with 200 attributes contains all of the attributes of the target item.
What are the best techniques or algorithms to use to compare items with dissimilar numbers of attributes?
data
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a data set containing millions of items collected from many disparate sources. Each item contains a list of anywhere from fifty to a thousand attributes. The specific attributes available vary greatly from item to item.
I am looking for the best way to find the most similar items in the set, to a given target item, without doing a brute force search.
I would like to use something like Locality Sensitive Hashing with MinHash. However, if the target item has 50 attributes and a likely matching item within the larger data set has 200, MinHash will consider these as dissimilar even if the item with 200 attributes contains all of the attributes of the target item.
What are the best techniques or algorithms to use to compare items with dissimilar numbers of attributes?
data
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a data set containing millions of items collected from many disparate sources. Each item contains a list of anywhere from fifty to a thousand attributes. The specific attributes available vary greatly from item to item.
I am looking for the best way to find the most similar items in the set, to a given target item, without doing a brute force search.
I would like to use something like Locality Sensitive Hashing with MinHash. However, if the target item has 50 attributes and a likely matching item within the larger data set has 200, MinHash will consider these as dissimilar even if the item with 200 attributes contains all of the attributes of the target item.
What are the best techniques or algorithms to use to compare items with dissimilar numbers of attributes?
data
data
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
asked 6 hours ago
Anthony GatlinAnthony Gatlin
1011
1011
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Anthony Gatlin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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