Advanced

Product Recommendations in E-commerce Systems using Content-based Clustering and Collaborative Filtering

Hansson, Linda (2015) FMS820 20152
Mathematical Statistics
Abstract
In this report we take a new approach to product recommendation. We investigate
the the possibility of using a hybrid recommender consisting of contentbased
clustering and connections between clusters using collaborative filtering
to make good product recommendations.
The algorithm is tested on real product and purchase data from two different
companies - a big online book store and a smaller online clothing store.
It is evaluated both for functionality as a backfiller to other algorithms and as
a strong individual algorithm. The evaluation mainly looks at the number of
purchases as metric but also uses accuracy and recall as evaluation metrics.
The algorithm shows some promise for using it as an individual algorithm.
Please use this url to cite or link to this publication:
author
Hansson, Linda
supervisor
organization
course
FMS820 20152
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Collaborative filtering, Content-based clustering, Recommender systems
language
English
id
7860347
date added to LUP
2015-09-07 16:14:08
date last changed
2015-09-08 11:26:39
@misc{7860347,
  abstract     = {In this report we take a new approach to product recommendation. We investigate
the the possibility of using a hybrid recommender consisting of contentbased
clustering and connections between clusters using collaborative filtering
to make good product recommendations.
The algorithm is tested on real product and purchase data from two different
companies - a big online book store and a smaller online clothing store.
It is evaluated both for functionality as a backfiller to other algorithms and as
a strong individual algorithm. The evaluation mainly looks at the number of
purchases as metric but also uses accuracy and recall as evaluation metrics.
The algorithm shows some promise for using it as an individual algorithm.},
  author       = {Hansson, Linda},
  keyword      = {Collaborative filtering,Content-based clustering,Recommender systems},
  language     = {eng},
  note         = {Student Paper},
  title        = {Product Recommendations in E-commerce Systems using Content-based Clustering and Collaborative Filtering},
  year         = {2015},
}