How can I query Solr to get high scores for documents with more similarity?How to configure Solr to use Levenshtein approximate string matching?is Lucene boolean OR queries scoring biased towards the term having more alternativesWhat does “documents” and “cores” mean in SOLR? And how can i use them?Single-word searches in Solr are not accurateSolr query: prefer phrase over occurrence of single words, but accept bothSolr: Scoring exact matches higher than partial matchesHow to enforce stable result scores in SOLR? By defining fixed docFreq?Solr configuration for scored searchSOLR (4.3) - reducing score of “poor” quality (very short) documentsSolr querying nested documents with ChildDocTransformerFactory, get “Parent query yields document which is not matched by parents filter”How to add a new query listener via the SolR Config API?
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How can I query Solr to get high scores for documents with more similarity?
How to configure Solr to use Levenshtein approximate string matching?is Lucene boolean OR queries scoring biased towards the term having more alternativesWhat does “documents” and “cores” mean in SOLR? And how can i use them?Single-word searches in Solr are not accurateSolr query: prefer phrase over occurrence of single words, but accept bothSolr: Scoring exact matches higher than partial matchesHow to enforce stable result scores in SOLR? By defining fixed docFreq?Solr configuration for scored searchSOLR (4.3) - reducing score of “poor” quality (very short) documentsSolr querying nested documents with ChildDocTransformerFactory, get “Parent query yields document which is not matched by parents filter”How to add a new query listener via the SolR Config API?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I have a Solr core populated from products table in an ecom database. "Title" is a field in the core. Which is the best approach to get proper score/ranking? For example, if someone searches for "iPhone", the product with title "iPhone 6s" should get a score higher than one with "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Does Solr have some variation of levenstein distance which may help? Solr Version is 7.3. Clarification - both the values I mentioned, "iPhone 6s" and "Beautiful case for iPhone 6, iPhone 7 and similar iPhones" are in the same field - Title. If we take levenstein distance, "iPhone 6s" is closer to "iPhone" than "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Can this fact be put to use so that iPhoe 6s comes before the other one?
solr levenshtein-distance
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
|
show 1 more comment
I have a Solr core populated from products table in an ecom database. "Title" is a field in the core. Which is the best approach to get proper score/ranking? For example, if someone searches for "iPhone", the product with title "iPhone 6s" should get a score higher than one with "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Does Solr have some variation of levenstein distance which may help? Solr Version is 7.3. Clarification - both the values I mentioned, "iPhone 6s" and "Beautiful case for iPhone 6, iPhone 7 and similar iPhones" are in the same field - Title. If we take levenstein distance, "iPhone 6s" is closer to "iPhone" than "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Can this fact be put to use so that iPhoe 6s comes before the other one?
solr levenshtein-distance
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
You can give different "boost" values to each field, for example:q=iphone&qf=title^10+description&defType=edismaxwould give a bigger boost to matches on title vs matches on the description.
– Hector Correa
Mar 26 at 15:45
You can start by settingomitNormsand if you're not doing phrase searches,omitTermFreqAndPositionson the field - this will disable any scoring based on field length and the number of occurences.
– MatsLindh
Mar 26 at 20:03
1
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19
|
show 1 more comment
I have a Solr core populated from products table in an ecom database. "Title" is a field in the core. Which is the best approach to get proper score/ranking? For example, if someone searches for "iPhone", the product with title "iPhone 6s" should get a score higher than one with "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Does Solr have some variation of levenstein distance which may help? Solr Version is 7.3. Clarification - both the values I mentioned, "iPhone 6s" and "Beautiful case for iPhone 6, iPhone 7 and similar iPhones" are in the same field - Title. If we take levenstein distance, "iPhone 6s" is closer to "iPhone" than "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Can this fact be put to use so that iPhoe 6s comes before the other one?
solr levenshtein-distance
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
I have a Solr core populated from products table in an ecom database. "Title" is a field in the core. Which is the best approach to get proper score/ranking? For example, if someone searches for "iPhone", the product with title "iPhone 6s" should get a score higher than one with "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Does Solr have some variation of levenstein distance which may help? Solr Version is 7.3. Clarification - both the values I mentioned, "iPhone 6s" and "Beautiful case for iPhone 6, iPhone 7 and similar iPhones" are in the same field - Title. If we take levenstein distance, "iPhone 6s" is closer to "iPhone" than "Beautiful case for iPhone 6, iPhone 7 and similar iPhones". Can this fact be put to use so that iPhoe 6s comes before the other one?
solr levenshtein-distance
solr levenshtein-distance
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
edited Mar 27 at 7:30
Jayadevan
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
asked Mar 26 at 13:19
JayadevanJayadevan
7807 silver badges20 bronze badges
7807 silver badges20 bronze badges
Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
You can give different "boost" values to each field, for example:q=iphone&qf=title^10+description&defType=edismaxwould give a bigger boost to matches on title vs matches on the description.
– Hector Correa
Mar 26 at 15:45
You can start by settingomitNormsand if you're not doing phrase searches,omitTermFreqAndPositionson the field - this will disable any scoring based on field length and the number of occurences.
– MatsLindh
Mar 26 at 20:03
1
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19
|
show 1 more comment
Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
You can give different "boost" values to each field, for example:q=iphone&qf=title^10+description&defType=edismaxwould give a bigger boost to matches on title vs matches on the description.
– Hector Correa
Mar 26 at 15:45
You can start by settingomitNormsand if you're not doing phrase searches,omitTermFreqAndPositionson the field - this will disable any scoring based on field length and the number of occurences.
– MatsLindh
Mar 26 at 20:03
1
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19
Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
You can give different "boost" values to each field, for example:
q=iphone&qf=title^10+description&defType=edismax would give a bigger boost to matches on title vs matches on the description.– Hector Correa
Mar 26 at 15:45
You can give different "boost" values to each field, for example:
q=iphone&qf=title^10+description&defType=edismax would give a bigger boost to matches on title vs matches on the description.– Hector Correa
Mar 26 at 15:45
You can start by setting
omitNorms and if you're not doing phrase searches, omitTermFreqAndPositions on the field - this will disable any scoring based on field length and the number of occurences.– MatsLindh
Mar 26 at 20:03
You can start by setting
omitNorms and if you're not doing phrase searches, omitTermFreqAndPositions on the field - this will disable any scoring based on field length and the number of occurences.– MatsLindh
Mar 26 at 20:03
1
1
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19
|
show 1 more comment
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Have a look at the answers to stackoverflow.com/questions/1752301/…
– kellyfj
Mar 26 at 14:12
You can give different "boost" values to each field, for example:
q=iphone&qf=title^10+description&defType=edismaxwould give a bigger boost to matches on title vs matches on the description.– Hector Correa
Mar 26 at 15:45
You can start by setting
omitNormsand if you're not doing phrase searches,omitTermFreqAndPositionson the field - this will disable any scoring based on field length and the number of occurences.– MatsLindh
Mar 26 at 20:03
1
@HectorCorrea - both values appear in Title column. Vendors keep repeating a term like "iPhone" many times in Title hoping that it will give them an edge in Search Engine Optimization.
– Jayadevan
Mar 27 at 7:32
@MatsLindh - why to omit norms? in such cases norms will actually help since they will normalize the field score by the length of the field.
– Tomer Arazy
Mar 27 at 15:19