Elasticsearch - How to boost score by the results of an aggregation? -

-

my use case follows: execute search against products , boost score salesrank relative other documents in results. top 10% sellers should boosted factor of 1.5 , top 25-10% should boosted factor of 1.25. percentiles calculated on results of query, not entire data set. feature being used on-the-fly instant results user types, single character queries still return results.

so example, if search "widget" , 100 results, top 10 sellers returned boosted 1.5 , top 10-25 boosted 1.25.

i thought of using percentiles aggregation feature calculate 75th , 90th percentiles of result set.

post /catalog/product/_search?_source_include=name,salesrank {   "query": {     "match_phrase_prefix": {       "name": "n"     }   },   "aggs": {     "sales_rank_percentiles": {       "percentiles": {         "field" : "salesrank",         "percents" : [75, 90]       }     }   } }

this gets me following:

{    "hits": {       "total": 142,       "max_score": 1.6653868,       "hits": [          {             "_score": 1.6653868,             "_source": {                "name": "nylon",                "salesrank": 46             }          },          {             "_score": 1.6643861,             "_source": {                "name": "neon",                "salesrank": 358             }          },          ..... <snip> .....       ]    },    "aggregations": {       "sales_rank_percentiles": {          "values": {             "75.0": 83.25,             "90.0": 304          }       }    } }

so great, gives me results , percentiles. boost "neon" above "nylon" because it's top 10% seller in results (note: in our system, salesrank value descending in precedence, higher value = more sales). text relevancy low since 1 character supplied, sales rank should have big effect.

it seems function core query used here, of examples in documentation uses doc[] use values document. there aren't using other information top-level of response, e.g. "aggs" {}. boost document if sales rank falls within 100-90th , 89th-75th percentiles, 1.5 , 1.25 respectively.

is elasticsearch supports or going have roll own custom script or plugin? or try different approach entirely? preference pre-calculate percentiles, index them, , constant score boost, stakeholder prefers run-time calculation.

i'm using elasticsearch 1.2.0.

what if keep sellers parent document , periodically updates stars (and boosting factor), say, via worker. match products using has_parent query, , use combination of score mode, custom score query match top products top sellers?


Comments

Post a Comment

Popular posts from this blog

c++ - OpenCV Error: Assertion failed <scn == 3 ::scn == 4> in unknown function, -

-
i read alot other solution still confused should mine... #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <iostream> #include <stdio.h> using namespace std; using namespace cv; int main(int argc, const char** argv) { //create cascade classifier object used face detection cascadeclassifier face_cascade; //use haarcascade_frontalface_alt.xml library face_cascade.load("haarcascade_frontalface_alt.xml"); //setup video capture device , link first capture device videocapture capturedevice; capturedevice.open(0); //setup image files used in capture process mat captureframe; mat grayscaleframe; //create window present results namedwindow("outputcapture", 1); //create loop capture , find faces while (true) { //capture new image frame capturedevice >> captureframe; ...
Read more

php - render data via PDO::FETCH_FUNC vs loop -

-
i've been using 2 methods render data. the first one: function name($id,$name){ return '<div id="'.$id.'">'.$name.'</div>'; } echo implode($pdo->query("select id,name user")->fetchall(pdo::fetch_func,'name')); the second one: $users = $pdo->query("select id,name user")->fetchall(pdo::fetch_obj); foreach($users $user){ echo name($user->id,$user->name); } i don't understand how pdo::fetch_func works. tried figure out. however, not well-documented. could please explain fetch mode? , also, 1 performs better? thank you. both methods wrong , have learn how use templates , how separate business logic presentation logic. $users = $pdo->query("select id,name user")->fetchall(pdo::fetch_obj); tpl::assign('users', $users); is code business logic part. then in template <?php foreach $users $row): ?> <div id="<?=$...
Read more

The canvas has been tainted by cross-origin data in chrome only -

-
uncaught securityerror: failed execute 'getimagedata' on 'canvasrenderingcontext2d': canvas has been tainted cross-origin data i getting above error in chrome. code(following) works fine in mozilla. have not corss domain issue. why above error in chrome? var wheel_canvas, wheel_context, can_w, can_h, wheel_grd; var large_radius = 160; var small_radius = 120; var wheel_canvas = document.getelementbyid('wheel_canvas'); var wheel_context = wheel_canvas.getcontext('2d'); var can_w = $(wheel_canvas).width(); var can_h = $(wheel_canvas).height(); var centerx = can_w / 2, centery = can_h / 2; var wheel_grd = null; test('#ff0000'); function test(hex) { $('#clrpicker').css({'left': 210, 'top': 210 }); inverted = hexbw(hex); $('#color_val_show').val(hex); current_color_hex_val_selected = hex; $('#color_val_show').css({'color':inverted,'background':hex}); fillgradient...
Read more