Filters








4,055 Hits in 6.5 sec

Putting Accountability of AI Systems into Practice

Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi
<span title="">2020</span> <i title="International Joint Conferences on Artificial Intelligence Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfwwmrihanevtjbbkti2kc3nke" style="color: black;">Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence</a> </i> &nbsp;
A technical implementation of the framework for automotive and motor insurance is demonstrated, where the focus is on preventing and reporting harm rendered by autonomous vehicles.  ...  To improve and ensure trustworthiness and ethics on Artificial Intelligence (AI) systems, several initiatives around the globe are producing principles and recommendations, which are providing to be difficult  ...  Acknowledgments This work was partially supported by JSPS KAKENHI Grant JP18H03337, by the Telecommunications Advancement Foundation, and by the Global Station for Big Data and Cybersecurity, a project  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2020/742">doi:10.24963/ijcai.2020/742</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcai/ZhaoOK20.html">dblp:conf/ijcai/ZhaoOK20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cn5nkucx4zc5zoagqt46br4ph4">fatcat:cn5nkucx4zc5zoagqt46br4ph4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104204158/https://www.ijcai.org/Proceedings/2020/0742.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/23/232310de2e7a45a74f16afcc882beab69485635c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2020/742"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Directions for Explainable Knowledge-Enabled Systems [article]

Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness
<span title="2020-03-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Interest in the field of Explainable Artificial Intelligence has been growing for decades and has accelerated recently.  ...  Recently, researchers have been investigating and tackling explainability with a user-centric focus, looking for explanations to consider trustworthiness, comprehensibility, explicit provenance, and context-awareness  ...  We thank our colleagues from IBM Research, Amar Das, Morgan Foreman and Ching-  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.07523v1">arXiv:2003.07523v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnsqhmeq6nfttirizkt5mipvwy">fatcat:mnsqhmeq6nfttirizkt5mipvwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320195631/https://arxiv.org/pdf/2003.07523v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.07523v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project [article]

Michael D. Ekstrand
<span title="2018-09-10">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Since 2010, we have built and maintained LensKit, an open-source toolkit for building, researching, and learning about recommender systems.  ...  We have successfully used the software in a wide range of recommender systems experiments, to support education in traditional classroom and online settings, and as the algorithmic backend for user-facing  ...  Scikit-Learn provides many machine learning algorithms suitable for recommender systems research, and Keras, PyTorch, and TensorFlow all provide neural network functionality to Python.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.03125v1">arXiv:1809.03125v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xejlk7zjcrgz5fchgfii6iwove">fatcat:xejlk7zjcrgz5fchgfii6iwove</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200909004222/https://arxiv.org/pdf/1809.03125v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/3b/343bfbf6185c3d76ab08b3ba62149d773105c304.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.03125v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration

Germain Garcia-Zanabria, Daniel A. Gutierrez-Pachas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto
<span title="2022-06-07">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
This paper presents SDA-Vis, a visualization system that supports counterfactual explanations for student dropout dynamics, considering various academic, social, and economic variables.  ...  High and persistent dropout rates represent one of the biggest challenges for improving the efficiency of the educational system, particularly in underdeveloped countries.  ...  For instance, for a dropout student in the data set and in contrast to a machine learning model based on the real values, counterfactual explanations provide synthetic sample recommendations for what to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12125785">doi:10.3390/app12125785</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5suw73laffzndmdpghkn5pckm">fatcat:c5suw73laffzndmdpghkn5pckm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220612045823/https://mdpi-res.com/d_attachment/applsci/applsci-12-05785/article_deploy/applsci-12-05785.pdf?version=1654606889" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7d/6d/7d6db2d8d8e4d1c307d49e3ca4ad2fe2b2c86e50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12125785"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Building an integrated U.S. National Climate Indicators System

Melissa A. Kenney, Anthony C. Janetos, Glynis C. Lough
<span title="2016-01-28">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ovor77wrhvafrical6dw3wzhpe" style="color: black;">Climatic Change</a> </i> &nbsp;
In this paper, we describe the scoping and development of recommendations and prototypes for the NCIS, with the expectation that the process and lessons learned will be useful to others developing suites  ...  National Climate Assessment, an indicators system was recommended as a foundational product to support a sustained assessment process (Buizer et al. 2013) .  ...  Acknowledgments The authors thank the editors of the special issue, four anonymous reviewers, and Michael Gerst for comments that have improved the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10584-016-1609-1">doi:10.1007/s10584-016-1609-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uheok7zip5dgzhkaodle3xfgsy">fatcat:uheok7zip5dgzhkaodle3xfgsy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922025956/https://link.springer.com/content/pdf/10.1007%2Fs10584-016-1609-1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9b/3d/9b3d2a7a71800f2336fc82872aea0cd9e502bfd9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10584-016-1609-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Building an integrated U.S. National Climate Indicators System [chapter]

Melissa A. Kenney, Anthony C. Janetos, Glynis C. Lough
<span title="">2016</span> <i title="Springer International Publishing"> Springer Climate </i> &nbsp;
In this paper, we describe the scoping and development of recommendations and prototypes for the NCIS, with the expectation that the process and lessons learned will be useful to others developing suites  ...  National Climate Assessment, an indicators system was recommended as a foundational product to support a sustained assessment process (Buizer et al. 2013) .  ...  Acknowledgments The authors thank the editors of the special issue, four anonymous reviewers, and Michael Gerst for comments that have improved the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-41802-5_7">doi:10.1007/978-3-319-41802-5_7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k4ucowitjja7fm6bedjmsntcbq">fatcat:k4ucowitjja7fm6bedjmsntcbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922025956/https://link.springer.com/content/pdf/10.1007%2Fs10584-016-1609-1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9b/3d/9b3d2a7a71800f2336fc82872aea0cd9e502bfd9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-41802-5_7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Mitigating Bias in Algorithmic Systems - A Fish-Eye View

Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner-Tal, Alan Hartman, Tsvi Kuflik
<span title="2021-04-01">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences.  ...  The literature describes three steps toward a comprehensive treatment – bias detection, fairness management and explainability management – and underscores the need to work from within the system as well  ...  interaction (HCI), recommender systems (RecSys) and machine learning (ML).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6240582">doi:10.5281/zenodo.6240582</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vftoi4woebhrrp5tlmkclabgf4">fatcat:vftoi4woebhrrp5tlmkclabgf4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220511133306/https://zenodo.org/record/6240582/files/ACM_Survey_FAT__CSUR_Revision_.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/b8/1ab8ce2d593cd45d667d18f2f87ea29487c0703b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6240582"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach [article]

Carlos Fernández-Loría, Foster Provost, Xintian Han
<span title="2021-10-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We examine counterfactual explanations for explaining the decisions made by model-based AI systems.  ...  We (1) demonstrate how this framework may be used to provide explanations for decisions made by general, data-driven AI systems that may incorporate features with arbitrary data types and multiple predictive  ...  In the context of consumer-facing recommendations, McInerney et al. (2018) propose a method that simultaneously learns the best content to recommend for each user and the type of explanation(s) to which  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.07417v5">arXiv:2001.07417v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/76n6mxrnonca7myaujflzu7rdi">fatcat:76n6mxrnonca7myaujflzu7rdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211016092733/https://arxiv.org/pdf/2001.07417v5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4a/12/4a12ed8afeef0ef238daa5f9cde643eb7e75c144.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.07417v5" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Applying systems thinking to knowledge mobilisation in public health

Abby Haynes, Lucie Rychetnik, Diane Finegood, Michelle Irving, Louise Freebairn, Penelope Hawe
<span title="2020-11-17">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/to4eyd74ubh5lf5vgmygjcugue" style="color: black;">Health Research Policy and Systems</a> </i> &nbsp;
what is meant by 'systems thinking', (2) describe counterfactual KM scenarios so the added value of systems thinking is clearer, (3) widen conceptualisations of impact when evaluating KM, and (4) use  ...  We describe how these models interact and draw out some key learnings for applying systems thinking practically to KM in public health policy and practice.  ...  AH led the writing in continual collaboration with LR, PH, DF, LF and MI. All authors contributed to the developing manuscript and reviewed and approved the final version.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12961-020-00600-1">doi:10.1186/s12961-020-00600-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33203438">pmid:33203438</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ozjdvxmjqrak7bhu3ugnuckemi">fatcat:ozjdvxmjqrak7bhu3ugnuckemi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428000511/https://prism.ucalgary.ca/bitstream/handle/1880/112775/12961_2020_Article_600.pdf;jsessionid=2EB79B7C612FF3D8EE37D4B121837F7B?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/08/e308990709b4294b49abb4bdf8ccfa6eb937956c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12961-020-00600-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Deep Learning for Information Systems Research [article]

Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
<span title="2020-10-07">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Taken together, these contributions provide IS scholars a timely framework to advance the scale, scope, and impact of deep learning research.  ...  First, we systematically summarize the major components of DL in a novel Deep Learning for Information Systems Research (DL-ISR) schematic that illustrates how technical DL processes are driven by key  ...  Forthcoming) and combined geographical and social data for personalized recommendations (Guo et al. 2018 ). Learning Paradigms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.05774v1">arXiv:2010.05774v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y2mj5m7qaremrf6jvryhxk6vgq">fatcat:y2mj5m7qaremrf6jvryhxk6vgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201014061151/https://arxiv.org/ftp/arxiv/papers/2010/2010.05774.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.05774v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Survey of Research on Fair Recommender Systems [article]

Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin, Alessandro Difonzo, Dario Zanzonelli
<span title="2022-05-25">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recommender systems can strongly influence which information we see online, e.g, on social media, and thus impact our beliefs, decisions, and actions.  ...  At the same time, these systems can create substantial business value for different stakeholders.  ...  This may require more advanced techniques in the evaluation step, such as counterfactual evaluation, in order to properly interpret the data coming from A/B logged interactions once interventions have  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.11127v2">arXiv:2205.11127v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qcq5iuwlevg2dh54i4on5jj4hi">fatcat:qcq5iuwlevg2dh54i4on5jj4hi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220527035219/https://arxiv.org/pdf/2205.11127v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/14/7c146c7e3ff086909f002519dc61cf60a7e6a03f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.11127v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Advances and challenges in conversational recommender systems: A survey

Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bm3baoxewvempaqpsm7ytjgkci" style="color: black;">AI Open</a> </i> &nbsp;
The recent rise of conversational recommender systems (CRSs) changes this situation fundamentally.  ...  Considerable efforts, spread across disparate settings and applications, have been put into developing CRSs. Existing models, technologies, and evaluation methods for CRSs are far from mature.  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (61972372, U19A2079) and the National Key Research and Development Program of China (2020YFB1406703, 2020AAA0106000  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aiopen.2021.06.002">doi:10.1016/j.aiopen.2021.06.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4r26fmsuvjcyla5wycb2ax62ha">fatcat:4r26fmsuvjcyla5wycb2ax62ha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210726181543/https://pdf.sciencedirectassets.com/777606/1-s2.0-S2666651021X00022/1-s2.0-S2666651021000164/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEEIaCXVzLWVhc3QtMSJIMEYCIQCS76%2BjM3D9ZNQE2xJZlWoeN13YTQagDzrR399n291rOQIhAKOcy%2F8o%2FC66NBOGCrvV2OAhRePZBeN6AVzkUVTIfu7QKvoDCEoQBBoMMDU5MDAzNTQ2ODY1Igz1cwG6nzYTQnomXHQq1wPD%2FhnrP3iB0Ki8lWY6pjlK%2BHg4%2FC56kH2Az40wIW3HuuO8J6NY8Ej59Z%2BczVujgzWJuM1TxkJ83vfP7fJqvUB3uiU4V0APQ13FuFUChV5iMg2S2mu7bjrF4w%2FPpmi7pfj%2FQF0ca4SSyszN550fVdR2s%2B6RZhkfQrFE9EDlchaoXrlTHe7GkHiLUY3W69YsT3eDEGmEfB39pGCkTysBXhjQBOD3odePy8IK44LUXAKRFn7e3SUsQwj6GJwbeNA0fswaigq5xUcvH3sus%2BTQnVnIO1jm5rMdc9JwxAf2CTsLQNfe%2B6T%2BvFrrEog1poslzUgsoPVzbqXZ5YgIt7rmNZpmHA0MsrFrYaXLB26YIxAm0n0cYoo6iMkFl%2B8oha4vePP4ZT00Cs8US9%2FSq2uw03%2Fn8AtUjxOk1wi1J1UAP1sOM6%2FvEIfx53YTdJQKzZfEsqcuiam5SnzoxPp1IRq1cZ2OHLwzCBe6co3teZwraGeb62Wq%2BIdYSYQuMI3jV5kBD30MZVn0KwFX%2Fk%2BUvmHF%2BdEiIXTREg95fFaGPH4eT%2FaoRkPYAUCd2H5fGn17u1XZMcwgq3MNqIrBX1SGwAzLCljWZ2nWITXEnVakO7UpNBt2p%2FwbBqGblwcwotr7hwY6pAEQj7gePxEiPnp24P5nCmB3qaB4wEsfYhjJ0NA38UJBVvHr0CCirxycAixgn2SxRxZOGZB7eiwqpi8ZIE%2FvliBYceS8s4oWUMI2y0a3T79Sl%2Bd8vzx0DlcM2e1Jd3bta7FZjuQE%2F0QzhToYQmrV6ICEeFe%2FLriWrqqLsrIKZJnYx2wGzeQsPb2nO8u6aiVDET%2FAv17EMQAc%2BVT%2B%2Ftirsu1AlhphlQ%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210726T181537Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY5AJWI4NG%2F20210726%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=065aad43f227d3dd243b9d26600722171f7827f8bc66bdebfc014ecf8ba077bd&amp;hash=cbd7df2af39acf7837880949c2f39b7baf3bfcfce96cdc28ffae9e430d6d49b1&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2666651021000164&amp;tid=spdf-6cf1a5b1-66dc-4758-895a-ded897c65406&amp;sid=da7d610b677a614eb68aedb76f8e17bc7b41gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/8d/438db713965b5cb09985c6161b126cddea1a1578.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aiopen.2021.06.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation [article]

Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-seng Chua, Fei Wu
<span title="2021-09-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Learning user representations based on historical behaviors lies at the core of modern recommender systems.  ...  Recent advances in sequential recommenders have convincingly demonstrated high capability in extracting effective user representations from the given behavior sequences.  ...  To this end, learning accurate and robust users' user representations is essential for recommender systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.05261v1">arXiv:2109.05261v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ml4l2scfvfgh5lbdbh7r6blawq">fatcat:ml4l2scfvfgh5lbdbh7r6blawq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210918124314/https://arxiv.org/pdf/2109.05261v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4a/3e/4a3ee01408e420dec6a041b0ae8202d9d7bea1c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.05261v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Recommendations as Treatments

Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
<span title="2021-11-20">2021</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/27wksbinzzhjfow2wuy6m2iefm" style="color: black;">The AI Magazine</a> </i> &nbsp;
This interventional view has led to the development of counterfactual inference techniques for evaluating and optimizing recommendation policies.  ...  This article explains how these techniques enable unbiased offline evaluation and learning despite biased data, and how they can inform considerations of fairness and equity in recommender systems.  ...  We anticipate future studies to build on the interventional view and establish a firm foundation for robust recommender systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v42i3.18141">doi:10.1609/aimag.v42i3.18141</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hdyi4nadijgp3fpieqojib5pfq">fatcat:hdyi4nadijgp3fpieqojib5pfq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220116010100/https://ojs.aaai.org/index.php/aimagazine/article/download/18141/18875" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/03/f60335313c9f829f396dd712830a5076940e9b11.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aimag.v42i3.18141"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

AI Science and Engineering: A New Field

Longbing Cao
<span title="2022-01-01">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3vh5mzjvind2vk5qmq5bpyxhqa" style="color: black;">IEEE Intelligent Systems</a> </i> &nbsp;
, compute, learn, discover, transfer, implement, and optimize "intelligence" from knowledge, behavior, emotion, sensing, vision, conversation, interaction, and response and to develop intelligent machines  ...  What makes AI a natural science rather than just transforming sciences and delivering techniques for building intelligent machines? What constitutes AI foundations beyond neuroscience?  ...  Creating a shareable data benchmark for specific business problems or goals and usable for checking and evaluating learning designs, tasks, and systems is critical for AI engineering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mis.2022.3151993">doi:10.1109/mis.2022.3151993</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sf2uay5oqnfi7ahsbyt5wppmey">fatcat:sf2uay5oqnfi7ahsbyt5wppmey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504223417/https://ieeexplore.ieee.org/ielx7/9670/9756258/09756274.pdf?tp=&amp;arnumber=9756274&amp;isnumber=9756258&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b9/41/b941020fb7d85841f131d5e46b7a9f6b09eabb7a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mis.2022.3151993"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 4,055 results