Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

PANDOR Data Set
Download: Data Folder, Data Set Description

Abstract: PANDOR is a novel and publicly available dataset for online recommendation provided by Purch ([Web Link]).

Data Set Characteristics:  

Multivariate

Number of Instances:

N/A

Area:

Life

Attribute Characteristics:

Categorical

Number of Attributes:

N/A

Date Donated

2018-10-02

Associated Tasks:

Recommendation

Missing Values?

N/A

Number of Web Hits:

17409


Source:

Massih-Reza Amini
Univ. Grenoble Alpes, CNRS/LIG
massih-reza.amini '@' univ-grenoble-alpes.fr

Charlotte Laclau
Univ. Grenoble Alpes, CNRS/LIG
charlotte.laclau '@' univ-grenoble-alpes.fr

Sumit Sidana
Univ. Grenoble Alpes, CNRS/LIG
sumit.sidana '@' imag.fr


Data Set Information:

source, offerId, pageViewId, offerViewId, utcDate, keywords, wasClicked, offerViewCountPerPageView, clickCountPerPageView, userId, productLemmas, productFeatures, url, pageLemmas, pageFeatures

# Events: 48,602,664
# Users: 5,894,431
# Offers: 14,716
# Clicks: 337,511
# OffersShown: 48,754,927
# Max offers shown to 1 user: 2,029
# Max clicks done by 1 user: 119

Average # Offers Shown to 1 user: 8.271
Average # Clicks done by 1 user: 0.057
Average # Clicks done by 1 user (if user did at least 1 click): 1.350616661464461


# Events where user did at least 1 click: 4,544,848
# Events which have at least 1 page text words: 1,212,170
# Events which have at least 1 product Text words: 450,050
# Events which have at least 1 keyword: 4,492,544

page text vocabulary size: 9,111
product text vocabulary size: 6,016
keyword vocabulary size: 543


Out of 9,847 offers, 2,701 offers have at least 1 text word (27.4%)
Out of 7,092 pages, 1,990 pages have at least 1 text word (28.1%)



Attribute Information:

Provide information about each attribute in your data set.


Relevant Papers:

Sumit Sidana, Charlotte Laclau, Massih-Reza Amini. 'Learning to Recommend Diverse Items over Implicit Feedback on PANDOR', RecSYS 2018.



Citation Request:

If you publish results based on this data set, please acknowledge its use, by referring to:
Sumit Sidana, Charlotte Laclau, Massih-Reza Amini. 'Learning to Recommend Diverse Items over Implicit Feedback on PANDOR', RecSYS 2018.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML