General
Please give us your feedback. Your opinion is very important to us.
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add content-based recommendation
Based based on a description of the item and a profile of the user’s preference
PredictionIO algorithms currently integrated do not make use of custom attributes. When content based algorithms are integrated, they will impact similarities and recommendations.
https://groups.google.com/forum/#!topic/predictionio-user/Nj2lNRAkjxs
https://groups.google.com/forum/#!topic/predictionio-user/eRPo5uaBf5A
https://groups.google.com/forum/#!topic/predictionio-user/jEbDgWWoaTc
https://groups.google.com/forum/#!topic/predictionio-user/Gip5mcSr6Ug
https://groups.google.com/forum/#!topic/predictionio-user/CiVukwb1ipo264 votes -
solve new user problem in ItemRec engine
provide algorithms to recommend items to new users and solve cold start problem
https://groups.google.com/forum/#!topic/predictionio-user/0RitqAIvx3E
73 votes -
support anonymized user
Most users browses products before they sign in on my site. It would be great if anonymized user logging is supported.
68 votes -
add a classification engine
Classification engine will be useful for applications like spam detection
https://groups.google.com/forum/#!topic/predictionio-user/MighHxY4HFA
https://groups.google.com/forum/#!topic/predictionio-user/yMkhdPppjaI67 votes -
Demand forecasting (Retail)
A demand forecasting template based on prices and sales history would be really nice for retailers. Once the model is trained, they could adapt their prices and discounts in order to maximise their profit.
56 votes -
add user similarity engine
Useful for friend recommendations or (PYMK) "people you may know" based on user-to-user actions like "friend" and "follow".
https://groups.google.com/forum/#!topic/predictionio-user/mYZIShQ1yJs
https://groups.google.com/forum/#!topic/predictionio-user/iNumdrdqiX831 votes -
add sentiment analysis engine
Sentiment analysis engine will be useful for to identifying and extracting subjective information from textual data.
29 votes -
predict rating and return score or rank with item
Is there a way to return the associated rating of an item together with the item, while asking for recommendations?
Has scoring been implemented yet in results? I'm looking for results that would be something like:
{ "pio_iids":[["item2",.09876], ["item3",72635], ["item8",.0765]] }
I'm not interested in this specific format, just something that would have scoring.
https://groups.google.com/d/msg/predictionio-user/u3dy3wBGyM0/HWuQa5R_LyMJ
26 votes -
support custom action types
PredictionIO comes with a few built-in actions, such as like, rate and view. It would be nice to allow developers to define custom action types.
24 votes -
add trend detection engine
Trend detection engine to detect trends in time series data.
23 votes -
Please support Deployment on RedHat Openshift
Given the number of components needed to make PredictionIO work, consider supporting a Openshift deployment either via a Cartridge or DIY approach that is explained in a Blog post
22 votes -
sales predictions
Does prediction.io support sales predictions? Example: I've timeline with sales per day and I'd like to predict future sales - how many sales will be tomorrow and so. Thank's for answer.
18 votes -
Support ElasticSearch backend
ElasticSearch is gaining momentum in use-cases that aren't strictly search. Also includes geospatial support as well.
14 votes -
Display app, engine and algorithm ID in Web GUI
It makes it easier to monitor training and errors from scheduler log files
14 votes -
PredictionIO-aaS
SaaS/hosted version of PredictionIO
13 votes -
12 votes
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support CORS request
It could be great to enable the CORS request ; configure the domains and the methods allowed
11 votes -
pagination for get_Itemrec_topn
pagination at API/SDK calls for itemrec topn.
11 votes -
Add demographic recommendation
All of your algorithm are providing recommendation base on previous behaviors of user. What about an algorithm to recommend items base on user's demographic information. It's good to solve problems like recommend items between different location (city, country, etc..).
10 votes -
Add anomaly detection support
Add the ability to identify anomalies within a set of time series data.
9 votes
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