Method, apparatus, and computer program product for improving network database functionalities

Abstract

Methods, apparatus and computer program products for improving network database functionalities are discussed herein, such as a computer-implemented method including receiving a network database search query associated with one or more network databases; in response to receiving the network database search query, querying the one or more network databases to identify a plurality of datasets; determining a plurality of taxonomy attributes, each of the plurality of taxonomy attributes being associated with at least one dataset of the plurality of datasets; calculating a taxonomy entropy based on the plurality of taxonomy attributes; comparing the taxonomy entropy to an entropy threshold; in response to the taxonomy entropy satisfying the entropy threshold, generating a dataset ranking based on relevance scores associated with the plurality of datasets; determining one or more taxonomy refinements based on the dataset ranking; and outputting the plurality of datasets and the one or more taxonomy refinements.

1 .- 20 . (canceled) 
     
     
         21 . An apparatus comprising a processor and a non-transitory memory storing program instructions, wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 cause rendering, on a display of a client device, a user interface comprising a search input field;   receive, via the search input field, a network database search query associated with one or more network databases;   determine a plurality of datasets and a plurality of taxonomy attributes from the one or more network databases based at least in part on the network database search query;   calculate a taxonomy entropy based on the plurality of taxonomy attributes;   in response to determining that the taxonomy entropy satisfies an entropy threshold, generate a plurality of taxonomy refinements associated with the plurality of datasets based on the plurality of taxonomy attributes; and   cause updating the user interface to display a plurality of dataset impressions based on the plurality of datasets and a plurality of taxonomy refinement impressions based on the plurality of taxonomy refinements.   
     
     
         22 . The apparatus of  claim 21 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 receive a user selection of a taxonomy refinement impression from the plurality of taxonomy refinement impressions, wherein the taxonomy refinement impression is associated with a taxonomy refinement of the plurality of taxonomy refinements;   determine a first group of datasets from the plurality of datasets associated with the taxonomy refinement; and   cause updating the user interface based at least in part on the first group of datasets.   
     
     
         23 . The apparatus of  claim 22 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 cause displaying a first group of dataset impressions associated with the first group of datasets on the user interface; and   remove a second group of dataset impressions not associated with the first group of datasets from the user interface.   
     
     
         24 . The apparatus of  claim 21 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 in response to the taxonomy entropy satisfying the entropy threshold, generate a dataset ranking based on relevance scores associated with the plurality of datasets; and   generate one or more taxonomy refinements of the plurality of taxonomy refinements based on the dataset ranking.   
     
     
         25 . The apparatus of  claim 21 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 cause rendering, on the user interface, a featured taxonomy refinements panel based at least in part on a plurality of combined relevance scores.   
     
     
         26 . The apparatus of  claim 25 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 determine a taxonomy refinement count associated with the plurality of taxonomy refinements;   determine a per-refinement data set count associated with each of the plurality of taxonomy refinements; and   determine whether the taxonomy refinement count satisfies a first predetermined threshold and whether the per-refinement data set count satisfies a second predetermined threshold.   
     
     
         27 . The apparatus of  claim 26 , wherein the non-transitory memory and the program instructions are configured to, with the processor, cause the apparatus to:
 in response to determining that the taxonomy refinement count satisfies the first predetermined threshold and the per-refinement data set count satisfies the second predetermined threshold, calculate, for each of the plurality of taxonomy refinements, a combined relevance score of the plurality of combined relevance scores.   
     
     
         28 . A computer-implemented method comprising:
 causing rendering, on a display of a client device, a user interface comprising a search input field;   receiving, via the search input field, a network database search query associated with one or more network databases;   determining a plurality of datasets and a plurality of taxonomy attributes from the one or more network databases based at least in part on the network database search query;   calculating a taxonomy entropy based on the plurality of taxonomy attributes;   in response to determining that the taxonomy entropy satisfies an entropy threshold, generating a plurality of taxonomy refinements associated with the plurality of datasets based on the plurality of taxonomy attributes; and   causing updating the user interface to display a plurality of dataset impressions based on the plurality of datasets and a plurality of taxonomy refinement impressions based on the plurality of taxonomy refinements.   
     
     
         29 . The computer-implemented method of  claim 28 , further comprising:
 receiving a user selection of a taxonomy refinement impression from the plurality of taxonomy refinement impressions, wherein the taxonomy refinement impression is associated with a taxonomy refinement of the plurality of taxonomy refinements;   determining a first group of datasets from the plurality of datasets associated with the taxonomy refinement; and   causing updating the user interface based at least in part on the first group of datasets.   
     
     
         30 . The computer-implemented method of  claim 29 , further comprising:
 causing displaying a first group of dataset impressions associated with the first group of datasets on the user interface; and   removing a second group of dataset impressions not associated with the first group of datasets from the user interface.   
     
     
         31 . The computer-implemented method of  claim 28 , further comprising:
 in response to the taxonomy entropy satisfying the entropy threshold, generating a dataset ranking based on relevance scores associated with the plurality of datasets; and   generating one or more taxonomy refinements of the plurality of taxonomy refinements based on the dataset ranking.   
     
     
         32 . The computer-implemented method of  claim 28 , further comprising:
 causing rendering, on the user interface, a featured taxonomy refinements panel based at least in part on a plurality of combined relevance scores.   
     
     
         33 . The computer-implemented method of  claim 32 , further comprising:
 determining a taxonomy refinement count associated with the plurality of taxonomy refinements;   determining a per-refinement data set count associated with each of the plurality of taxonomy refinements; and   determining whether the taxonomy refinement count satisfies a first predetermined threshold and whether the per-refinement data set count satisfies a second predetermined threshold.   
     
     
         34 . The computer-implemented method of  claim 33 , further comprising:
 in response to determining that the taxonomy refinement count satisfies the first predetermined threshold and the per-refinement data set count satisfies the second predetermined threshold, calculating, for each of the plurality of taxonomy refinements, a combined relevance score of the plurality of combined relevance scores.   
     
     
         35 . A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to:
 cause rendering, on a display of a client device, a user interface comprising a search input field;   receive, via the search input field, a network database search query associated with one or more network databases;   determine a plurality of datasets and a plurality of taxonomy attributes from the one or more network databases based at least in part on the network database search query;   calculate a taxonomy entropy based on the plurality of taxonomy attributes;   in response to determining that the taxonomy entropy satisfies an entropy threshold, generate a plurality of taxonomy refinements associated with the plurality of datasets based on the plurality of taxonomy attributes; and   cause updating the user interface to display a plurality of dataset impressions based on the plurality of datasets and a plurality of taxonomy refinement impressions based on the plurality of taxonomy refinements.   
     
     
         36 . The computer program product of  claim 35 , wherein the computer-readable program code portions comprise the executable portion configured to:
 receive a user selection of a taxonomy refinement impression from the plurality of taxonomy refinement impressions, wherein the taxonomy refinement impression is associated with a taxonomy refinement of the plurality of taxonomy refinements;   determine a first group of datasets from the plurality of datasets associated with the taxonomy refinement; and   cause updating the user interface based at least in part on the first group of datasets.   
     
     
         37 . The computer program product of  claim 36 , wherein the computer-readable program code portions comprise the executable portion configured to:
 cause displaying a first group of dataset impressions associated with the first group of datasets on the user interface; and   remove a second group of dataset impressions not associated with the first group of datasets from the user interface.   
     
     
         38 . The computer program product of  claim 35 , wherein the computer-readable program code portions comprise the executable portion configured to:
 in response to the taxonomy entropy satisfying the entropy threshold, generate a dataset ranking based on relevance scores associated with the plurality of datasets; and   generate one or more taxonomy refinements of the plurality of taxonomy refinements based on the dataset ranking.   
     
     
         39 . The computer program product of  claim 35 , wherein the computer-readable program code portions comprise the executable portion configured to:
 cause rendering, on the user interface, a featured taxonomy refinements panel based at least in part on a plurality of combined relevance scores.   
     
     
         40 . The computer program product of  claim 39 , wherein the computer-readable program code portions comprise the executable portion configured to:
 determine a taxonomy refinement count associated with the plurality of taxonomy refinements;   determine a per-refinement data set count associated with each of the plurality of taxonomy refinements; and   determine whether the taxonomy refinement count satisfies a first predetermined threshold and whether the per-refinement data set count satisfies a second predetermined threshold.