commit	8f6e101cfe642ada8075b1e9b62f52b913efde67	[log] [tgz]
author	Naoki Takezoe <takezoe@apache.org>	Tue Mar 12 22:36:21 2019 +0900
committer	Naoki Takezoe <takezoe@apache.org>	Tue Mar 12 22:36:21 2019 +0900
tree	cc3c6d0c5fd56a95a3a993a9eb9f6a6d370b810e
parent	b83fc2f8d135bb784c2c2292fd7a0d8e33ddd6a7 [diff]
parent	b4681abf7cbacc0cf3d07811c6357de6239d0530 [diff]

tree: cc3c6d0c5fd56a95a3a993a9eb9f6a6d370b810e

README.md

Similar Product Template

Documentation

Please refer to https://predictionio.apache.org/templates/similarproduct/quickstart/

Versions

v0.14.0

Update for Apache PredictionIO 0.14.0

v0.13.0

Update for Apache PredictionIO 0.13.0

v0.12.0-incubating

Bump version number to track PredictionIO version
Sets default build targets according to PredictionIO
Fix warnings and use of case class
Python3 support in helper scripts

v0.11.0-incubating

Bump version number to track PredictionIO version
Rename Scala package name
Update SBT version

v0.4.0

Update for Apache PredictionIO 0.10.0-incubating

v0.3.2

Fix CooccurrenceAlgorithm with unknown item ids

v0.3.1

Add CooccurrenceAlgorithm. To use this algorithm, override engine.json by engine-cooccurrence.json, or specify --variant engine-cooccurrence.json parameter for both $pio train and $pio deploy

v0.3.0

update for PredictionIO 0.9.2, including:
- use new PEventStore API
- use appName in DataSource parameter

v0.2.0

update build.sbt and template.json for PredictionIO 0.9.2

v0.1.3

cache mllibRatings RDD in algorithm train() because it is used at multiple places (non-empty data check and ALS)

v0.1.2

update for PredictionIO 0.9.0

v0.1.1

Persist RDD to memory (.cache()) in DataSource for better performance
Use local model for faster serving.

v0.1.0

initial version

Development Notes

import sample data

$ python data/import_eventserver.py --access_key <your_access_key>

sample query

normal:

curl -H "Content-Type: application/json" \
-d '{ "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"], "num": 10}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}

curl -H "Content-Type: application/json" \
-d '{
  "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"],
  "num": 10,
  "categories" : ["c4", "c3"]
}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}

curl -H "Content-Type: application/json" \
-d '{
  "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"],
  "num": 10,
  "whiteList": ["i21", "i26", "i40"]
}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}

curl -H "Content-Type: application/json" \
-d '{
  "items": ["i1", "i3", "i10", "i2", "i5", "i31", "i9"],
  "num": 10,
  "blackList": ["i21", "i26", "i40"]
}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}

unknown item:

curl -H "Content-Type: application/json" \
-d '{ "items": ["unk1", "i3", "i10", "i2", "i5", "i31", "i9"], "num": 10}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}

all unknown items:

curl -H "Content-Type: application/json" \
-d '{ "items": ["unk1", "unk2", "unk3", "unk4"], "num": 10}' \
http://localhost:8000/queries.json \
-w %{time_connect}:%{time_starttransfer}:%{time_total}