Data · dataset · 2018
Amazon user item temporal bipartite rating network
Listed in Teesside University Research Data Repository
This bipartite network contains product ratings from the Amazon online shopping website.
Description
The rating scale ranges from 1 to 5, where 5 denotes the most positive rating. Nodes represent users and products, and edges represent individual ratings.
More information about the network is provided here: konect.uni-koblenz.de/networks/amazon-ratings Files: meta.amazon-ratings -- Metadata about the network out.amazon-ratings -- The adjacency matrix of the network in space separated values format, with one edge per line The meaning of the columns in out.amazon-ratings are: First column: ID of from node Second column: ID of to node Third column: edge weight Fourth column: timestamp of the edge Complete documentation about the file format can be found in the KONECT handbook, in the section File Formats, available at: konect.uni-koblenz.de/publications All files are licensed under a Creative Commons Attribution-ShareAlike 2.0 Germany License.
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For more information concerning license visit konect.uni-koblenz.de/license. Use the following References for citation: @MISC{konect:2016:amazon-ratings, title = {Amazon ratings network dataset -- {KONECT}}, month = oct, year = {2016}, url = {konect.uni-koblenz.de/networks/amazon-ratings} } @inproceedings{konect:lim2010, author = {Lim, Ee-Peng and Nguyen, Viet-An and Jindal, Nitin and Liu, Bing and Lauw, Hady Wirawan}, title = {Detecting Product Review Spammers Using Rating Behaviors}, booktitle = {Proc.
Int. Conf. on Information and Knowledge Management}, year = {2010}, pages = {939--948}, } @inproceedings{konect:jindal2008, author = {Jindal, Nitin and Liu, Bing}, title = {Opinion Spam and Analysis}, booktitle = {Proc. Int.
Conf. on Web Search and Web Data Mining}, year = {2008}, pages = {219--230}, } @inproceedings{konect:mukherjee2012, author = {Mukherjee, Arjun and Liu, Bing and Glance, Natalie}, title = {Spotting Fake Reviewer Groups in Consumer Reviews}, booktitle = {Proc. Int. Conf. on World Wide Web}, year = {2012}, pages = {191--200}, } @inproceedings{konect, title = {{KONECT} -- {The} {Koblenz} {Network} {Collection}}, author = {Jérôme Kunegis}, year = {2013}, booktitle = {Proc.
Int. Conf. on World Wide Web Companion}, pages = {1343--1350}, url = {userpages.uni-koblenz.de/~kunegis/paper/kunegis-koblenz-network-collection.pdf}, url_presentation = {userpages.uni-koblenz.de/~kunegis/paper/kunegis-koblenz-network-collection.presentation.pdf}, }
Links
Where it is published
- DOI doi.org/10.17632/jy6rvth8w2.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Machine learning
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/jy6rvth8w2.2 | 9 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |