Is there a way to use non-text fields for document similarity in ElasticSearch, such as dates or integers?












1














Using the more_like_this feature of ElasticSearch, I understand how to use tf-idf or other metrics to find similar documents based on text fields. However what if my use case is more like this:



#   Name    Description    Price    Date
--------------------------------------------
1 A B C Ba Bi Bou 100.0 12-01-18
--------------------------------------------
2 A B Z Ba Bi Xon 250.0 01-11-11
3 X Y Z Xa Xu Xon 100.0 12-02-18


Based on text fields only, document #2 should score higher than document #3 in terms of similarity with document #1, since document #3 would score 0. However, taking "price" and "date" into account, document #3's score should raise.



Can I do something like that with ElasticSearch? The only documentation I find deal with text fields. Adding non-text fields to the more_like_this query doesn't cause any exceptions, however scores are completely unaffected.










share|improve this question



























    1














    Using the more_like_this feature of ElasticSearch, I understand how to use tf-idf or other metrics to find similar documents based on text fields. However what if my use case is more like this:



    #   Name    Description    Price    Date
    --------------------------------------------
    1 A B C Ba Bi Bou 100.0 12-01-18
    --------------------------------------------
    2 A B Z Ba Bi Xon 250.0 01-11-11
    3 X Y Z Xa Xu Xon 100.0 12-02-18


    Based on text fields only, document #2 should score higher than document #3 in terms of similarity with document #1, since document #3 would score 0. However, taking "price" and "date" into account, document #3's score should raise.



    Can I do something like that with ElasticSearch? The only documentation I find deal with text fields. Adding non-text fields to the more_like_this query doesn't cause any exceptions, however scores are completely unaffected.










    share|improve this question

























      1












      1








      1







      Using the more_like_this feature of ElasticSearch, I understand how to use tf-idf or other metrics to find similar documents based on text fields. However what if my use case is more like this:



      #   Name    Description    Price    Date
      --------------------------------------------
      1 A B C Ba Bi Bou 100.0 12-01-18
      --------------------------------------------
      2 A B Z Ba Bi Xon 250.0 01-11-11
      3 X Y Z Xa Xu Xon 100.0 12-02-18


      Based on text fields only, document #2 should score higher than document #3 in terms of similarity with document #1, since document #3 would score 0. However, taking "price" and "date" into account, document #3's score should raise.



      Can I do something like that with ElasticSearch? The only documentation I find deal with text fields. Adding non-text fields to the more_like_this query doesn't cause any exceptions, however scores are completely unaffected.










      share|improve this question













      Using the more_like_this feature of ElasticSearch, I understand how to use tf-idf or other metrics to find similar documents based on text fields. However what if my use case is more like this:



      #   Name    Description    Price    Date
      --------------------------------------------
      1 A B C Ba Bi Bou 100.0 12-01-18
      --------------------------------------------
      2 A B Z Ba Bi Xon 250.0 01-11-11
      3 X Y Z Xa Xu Xon 100.0 12-02-18


      Based on text fields only, document #2 should score higher than document #3 in terms of similarity with document #1, since document #3 would score 0. However, taking "price" and "date" into account, document #3's score should raise.



      Can I do something like that with ElasticSearch? The only documentation I find deal with text fields. Adding non-text fields to the more_like_this query doesn't cause any exceptions, however scores are completely unaffected.







      elasticsearch similarity






      share|improve this question













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      share|improve this question




      share|improve this question










      asked Nov 12 '18 at 9:54









      user6377061

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