Recommendations API

The Recommendations REST API uses signals and aggregated signals to return a list of items that can be used for recommendations.

To use the REST API Recommendations service to get recommendations for items in some collection, that collection must have associated signals and aggregated-signals system collections. How good the recommendations are depends on how well the information in the signals and aggregated signals collections, which is derived from observed user behavior, matches user behavior going forward.

In addition to these endpoints, is also possible to get recommendations as part of a query request.

Fusion 3.1 introduces new UI functionality for enabling recommendations and two new recommenders, which you can use in query pipelines: user-item recommenders and item-similarity recommenders.

See Recommendations for a discussion of when to use the API and when to use recommender query stages.

Recommendation types

The API includes separate endpoints for retrieving different types of recommendations:

itemsForQuery

Get items for a defined query.

The response is a list of document IDs and their weights.

queriesForItem

Get queries for a defined item (a document ID). This finds the top queries that led users to the defined item.

The response is a list of query terms and their weights.

Output

The output includes the following sections:

header

The query parameters (in a section named queryParams) and the total time it took to process the query.

items

Depending on the recommendation type:

  • itemsForQuery

    The document IDs and the weights of aggregated events that match the query. This type supports a debug option that adds a debug section to the output.

  • queriesForItem

    The queries and the weights of aggregated events that match the document ID.

Examples

Below are examples for each recommendation type.

itemsForQuery

Get the top items for the query 'ipod':

INPUT
curl -u user:pass http://localhost:8764/api/apollo/recommend/lucidworks102/itemsForQuery?q=ipod&fq=count_d:4&debug=true
OUTPUT
{
  "header" : {
    "queryParams" : {
      "aggrType" : "*",
      "rows" : 10,
      "collection" : "lucidworks102",
      "aggrRows" : 100,
      "debug" : true,
      "q" : "ipod",
      "fq" : [ "count_d:4" ]
    },
    "totalTime" : 5
  },
  "items" : [ {
    "weight" : 1.0726584E-11,
    "docId" : "8771929"
  }, {
    "weight" : 3.865899E-12,
    "docId" : "9225439"
  }, {
    "weight" : 9.230597E-12,
    "docId" : "3109302"
  } ],
  "debugInfo" : {
    "aggrTime" : 1,
    "queryTime" : 4,
    "solrParams" : {
      "mm" : [ "50%" ],
      "pf" : [ "query_t^3", "query_t~2^7", "query_t~0^1" ],
      "fl" : [ "id", "doc_id_s", "weight_d" ],
      "sort" : [ "score desc,weight_d desc" ],
      "q" : [ "ipod" ],
      "qf" : [ "query_t" ],
      "collection" : [ "lucidworks102_signals_aggr" ],
      "fq" : [ "aggr_type_s:*", "count_d:4" ],
      "rows" : [ "100" ],
      "defType" : [ "edismax" ]
    }
  }
}

queriesForItem

INPUT
curl -u user:pass http://localhost:8764/api/apollo/recommend/lucidworks102/queriesForItem?docId=9225439
OUTPUT
{
  "header" : {
    "queryParams" : {
      "aggrType" : "*",
      "rows" : 10,
      "collection" : "lucidworks102",
      "docId" : "9225439"
    },
    "totalTime" : 8
  },
  "items" : [ {
    "query" : "ipod",
    "weight" : 3.865899E-12
  }, {
    "query" : "columbusday ipod mp3 20111009",
    "weight" : 3.5141304E-12
  }, {
    "query" : "apple itouch",
    "weight" : 2.3619889E-12
  }, {
    "query" : "ipod 4th generation",
    "weight" : 1.6436526E-12
  }, {
    "query" : "ipod touch 4th generation",
    "weight" : 9.674966E-13
  }, {
    "query" : "onlinemidnightsale ipod mp3players",
    "weight" : 9.568035E-13
  }, {
    "query" : "ipod touch",
    "weight" : 7.774231E-13
  }, {
    "query" : "itouch",
    "weight" : 7.707221E-13
  } ]
}