Skip to content

Commit

Permalink
Merge pull request #4666 from openjournals/joss.05639
Browse files Browse the repository at this point in the history 
Merging automatically
  • Loading branch information
@editorialbot
editorialbot authored Oct 9, 2023
2 parents e39d0c2 + acacd39 commit c0299cf
Show file tree
Hide file tree
Showing 6 changed files with 1,157 additions and 0 deletions.
266 changes: 266 additions & 0 deletions joss.05639/10.21105.joss.05639.crossref.xml
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,266 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20231009T095408-ffe131ba4bf3601cb979a7101b07a8135655b21f</doi_batch_id>
<timestamp>20231009095408</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>10</month>
<year>2023</year>
</publication_date>
<journal_volume>
<volume>8</volume>
</journal_volume>
<issue>90</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>WSKNN - Weighted Session-based K-NN recommender
system</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Szymon</given_name>
<surname>Moliński</surname>
<ORCID>https://orcid.org/0000-0003-3525-2104</ORCID>
</person_name>
</contributors>
<publication_date>
<month>10</month>
<day>09</day>
<year>2023</year>
</publication_date>
<pages>
<first_page>5639</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.05639</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.8414247</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5639</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.05639</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.05639</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05639.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="Twardowski2021">
<article_title>Metric learning for session-based
recommendations</article_title>
<author>Twardowski</author>
<journal_title>Advances in information retrieval: 43rd
european conference on IR research, ECIR 2021, virtual event, march 28 –
april 1, 2021, proceedings, part i</journal_title>
<doi>10.1007/978-3-030-72113-8_43</doi>
<isbn>978-3-030-72112-1</isbn>
<cYear>2021</cYear>
<unstructured_citation>Twardowski, B., Zawistowski, P.,
&amp; Zaborowski, S. (2021). Metric learning for session-based
recommendations. Advances in Information Retrieval: 43rd European
Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1,
2021, Proceedings, Part i, 650–665.
https://doi.org/10.1007/978-3-030-72113-8_43</unstructured_citation>
</citation>
<citation key="Ludewig2018">
<article_title>Evaluation of session-based recommendation
algorithms</article_title>
<author>Ludewig</author>
<journal_title>User Modeling and User-Adapted
Interaction</journal_title>
<issue>4</issue>
<volume>28</volume>
<doi>10.1007/s11257-018-9209-6</doi>
<issn>1573-1391</issn>
<cYear>2018</cYear>
<unstructured_citation>Ludewig, M., &amp; Jannach, D.
(2018). Evaluation of session-based recommendation algorithms. User
Modeling and User-Adapted Interaction, 28(4), 331–390.
https://doi.org/10.1007/s11257-018-9209-6</unstructured_citation>
</citation>
<citation key="recsystemsrepo">
<article_title>Session-rec</article_title>
<author>Ludewig</author>
<journal_title>GitHub repository</journal_title>
<cYear>2019</cYear>
<unstructured_citation>Ludewig, L., Mauro. (2019).
Session-rec. In GitHub repository. GitHub.
https://github.com/rn5l/session-rec</unstructured_citation>
</citation>
<citation key="Latifi2020SessionawareRA">
<article_title>Session-aware recommendation: A surprising
quest for the state-of-the-art</article_title>
<author>Latifi</author>
<journal_title>Inf. Sci.</journal_title>
<volume>573</volume>
<cYear>2020</cYear>
<unstructured_citation>Latifi, S., Mauro, N., &amp; Jannach,
D. (2020). Session-aware recommendation: A surprising quest for the
state-of-the-art. Inf. Sci., 573, 291–315.</unstructured_citation>
</citation>
<citation key="gru4recrepo">
<article_title>GRU4Rec in keras</article_title>
<author>Hidasi</author>
<journal_title>GitHub repository</journal_title>
<cYear>2015</cYear>
<unstructured_citation>Hidasi, B., Karatzoglou. (2015).
GRU4Rec in keras. In GitHub repository. GitHub.
https://github.com/paxcema/KerasGRU4Rec</unstructured_citation>
</citation>
<citation key="Hidasi2015SessionbasedRW">
<article_title>Session-based recommendations with recurrent
neural networks</article_title>
<author>Hidasi</author>
<journal_title>CoRR</journal_title>
<volume>abs/1511.06939</volume>
<cYear>2015</cYear>
<unstructured_citation>Hidasi, B., Karatzoglou, A.,
Baltrunas, L., &amp; Tikk, D. (2015). Session-based recommendations with
recurrent neural networks. CoRR, abs/1511.06939.</unstructured_citation>
</citation>
<citation key="wsknnrepo">
<article_title>WSKNN repository</article_title>
<author>Moliński</author>
<journal_title>GitHub repository</journal_title>
<cYear>2022</cYear>
<unstructured_citation>Moliński. (2022). WSKNN repository.
In GitHub repository. GitHub.
https://github.com/nokaut/wsknn/blob/main/demo-notebooks/demo.ipynb</unstructured_citation>
</citation>
<citation key="recsys2015data">
<article_title>RecSys challenge 2015 and the YOOCHOOSE
dataset</article_title>
<author>Ben-Shimon</author>
<journal_title>Proceedings of the 9th ACM conference on
recommender systems</journal_title>
<doi>10.1145/2792838.2798723</doi>
<isbn>9781450336925</isbn>
<cYear>2015</cYear>
<unstructured_citation>Ben-Shimon, D., Tsikinovsky, A.,
Friedmann, M., Shapira, B., Rokach, L., &amp; Hoerle, J. (2015). RecSys
challenge 2015 and the YOOCHOOSE dataset. Proceedings of the 9th ACM
Conference on Recommender Systems, 357–358.
https://doi.org/10.1145/2792838.2798723</unstructured_citation>
</citation>
<citation key="tensorflow2015-whitepaper">
<article_title>TensorFlow: Large-scale machine learning on
heterogeneous systems</article_title>
<author>Abadi</author>
<cYear>2015</cYear>
<unstructured_citation>Abadi, M., Agarwal, A., Barham, P.,
Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J.,
Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard,
M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., … Zheng, X. (2015).
TensorFlow: Large-scale machine learning on heterogeneous systems.
https://www.tensorflow.org/</unstructured_citation>
</citation>
<citation key="movielenstutorial25">
<article_title>WSKNN - MovieLens 25M
tutorial</article_title>
<author>Moliński</author>
<journal_title>GitHub repository</journal_title>
<cYear>2023</cYear>
<unstructured_citation>Moliński. (2023). WSKNN - MovieLens
25M tutorial. In GitHub repository. GitHub.
https://github.com/nokaut/wsknn/blob/main/demo-notebooks/movielens25M.ipynb</unstructured_citation>
</citation>
<citation key="harris2020array">
<article_title>Array programming with NumPy</article_title>
<author>Harris</author>
<journal_title>Nature</journal_title>
<issue>7825</issue>
<volume>585</volume>
<doi>10.1038/s41586-020-2649-2</doi>
<cYear>2020</cYear>
<unstructured_citation>Harris, C. R., Millman, K. J., Walt,
S. J. van der, Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E.,
Taylor, J., Berg, S., Smith, N. J., Kern, R., Picus, M., Hoyer, S.,
Kerkwijk, M. H. van, Brett, M., Haldane, A., Río, J. F. del, Wiebe, M.,
Peterson, P., … Oliphant, T. E. (2020). Array programming with NumPy.
Nature, 585(7825), 357–362.
https://doi.org/10.1038/s41586-020-2649-2</unstructured_citation>
</citation>
<citation key="reback2020pandas">
<article_title>Pandas-dev/pandas: pandas</article_title>
<author>team</author>
<doi>10.5281/zenodo.3509134</doi>
<cYear>2020</cYear>
<unstructured_citation>team, T. pandas development. (2020).
Pandas-dev/pandas: pandas (latest). Zenodo.
https://doi.org/10.5281/zenodo.3509134</unstructured_citation>
</citation>
<citation key="casper_da_costa_luis_2023_8233425">
<article_title>tqdm: A fast, Extensible Progress Bar for
Python and CLI</article_title>
<author>Costa-Luis</author>
<doi>10.5281/zenodo.8233425</doi>
<cYear>2023</cYear>
<unstructured_citation>Costa-Luis, C. da, Larroque, S. K.,
Altendorf, K., Mary, H., richardsheridan, Korobov, M., Yorav-Raphael,
N., Ivanov, I., Bargull, M., Rodrigues, N., Chen, G., Lee, A., Newey,
C., CrazyPython, JC, Zugnoni, M., Pagel, M. D., mjstevens777, Dektyarev,
M., … Boyle, M. (2023). tqdm: A fast, Extensible Progress Bar for Python
and CLI (Version v4.66.1). Zenodo.
https://doi.org/10.5281/zenodo.8233425</unstructured_citation>
</citation>
<citation key="moreitertools">
<article_title>More itertools github
repository</article_title>
<journal_title>GitHub repository</journal_title>
<cYear>2023</cYear>
<unstructured_citation>More itertools github repository.
(2023). In GitHub repository. GitHub.
https://github.com/more-itertools/more-itertools</unstructured_citation>
</citation>
<citation key="pyyaml">
<article_title>PyYAML</article_title>
<author>Simonov</author>
<journal_title>GitHub repository</journal_title>
<cYear>2023</cYear>
<unstructured_citation>Simonov, K. (2023). PyYAML. In GitHub
repository. GitHub.
https://github.com/yaml/pyyaml</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Loading

0 comments on commit c0299cf

Please sign in to comment.