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Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness [article]

Nicola Neophytou, Bhaskar Mitra, Catherine Stinson
2021 arXiv   pre-print
In a recent study, Ekstrand et al. investigate how recommender performance varies according to popularity and demographics, and find statistically significant differences in recommendation utility between  ...  In addition, we find that total usage and the popularity of consumed content are strong predictors of recommender performance and also vary significantly across demographic groups.  ...  While typical methods of evaluating the effectiveness of search tools and recommender systems do not consider the disparate impact across demographic groups, several recent papers support the concern that  ... 
arXiv:2110.08353v1 fatcat:apvza53lqjfvravxaxyb6cbaqi

KuaiRec: A Fully-observed Dataset for Recommender Systems [article]

Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua
2022 arXiv   pre-print
However, most offline recommendation datasets are highly sparse and contain various biases, which hampers the evaluation of recommendation policies.  ...  This entails the significance of our fully-observed data in researching many directions in recommender systems, e.g., the unbiased recommendation, interactive/conversational recommendation, and evaluation  ...  Effects of Popularity Biases in Evaluation. The results of the popularity-oriented exposure have a similar phenomenon: only PopRec has unstable performance and inconsistent rankings.  ... 
arXiv:2202.10842v2 fatcat:psiaeqepk5bl3hnse4n6oz3x7u

The Tourist Experience: Modelling the Relationship between Customer Satisfaction and Destination Loyalty

Pinky Pawaskar, Mridula Goel
2016 Indian Journal of Science and Technology  
revisit and recommendation.  ...  Findings: A tourist will revisit and recommend a destination only if satisfied with the experience.  ...  Satisfaction in post visit evaluation would lead to tourists' intention to recommend and revisit a destination 42, 48, 49 .  ... 
doi:10.17485/ijst/2016/v9is1/107314 fatcat:bjdp23hzz5gjdbjiz6panla7ua

Users' Perception of Search Engine Biases and Satisfaction [article]

Bin Han, Chirag Shah, Daniel Saelid
2021 arXiv   pre-print
In our study, we take the perspective from end-users to analyze their perceptions of search engine biases and their satisfaction when the biases are regulated.  ...  In the study, we paired a real search page from search engine Bing with a synthesized page that has more diversities in the results (i.e. less biased).  ...  [2] designed two metrics to quantify such popularity bias and proposed a method to reduce the biased correlation between item relevance and item popularity.  ... 
arXiv:2105.02898v1 fatcat:oaesclww2rcftm7nrayc2etlni


Mo Zhou, Alison Cliff, Allen Huang, Sanjay Krishnan, Brandie Nonnecke, Kanji Uchino, Sam Joseph, Armando Fox, Ken Goldberg
2015 Proceedings of the Second (2015) ACM Conference on Learning @ Scale - L@S '15  
Ongoing student feedback on course content and assignments can be valuable for MOOC instructors in the absence of face-to-face-interaction.  ...  M-CAFE allows students to visualize how they compare with their peers and read and evaluate what others have suggested, providing peer-to-peer collaborative filtering.  ...  Acknowledgment This work is supported in part by the Blum Center for Developing Economies and the Development Impact Lab (USAID Cooperative Agreement AID-OAA-A-12-00011) as part of the USAID Higher Education  ... 
doi:10.1145/2724660.2728681 dblp:conf/lats/ZhouCHKNUJFG15 fatcat:7uvufxc43vezrch6laolzcvmsm

The Causal Relationships Between Destination Image, Tourist Satisfaction And Revisit Intention: A Case Of The United Arab Emirates

Abdul Raheem Jasim Mohammed, Mohd Salehuddin Mohd Zahari, Salim Abdul Talib, Mohd Zulhilmi Suhaimi
2014 Zenodo  
With strong marketing efforts, UAE is not only considered to be successful in attracting foreign investors, but is becoming the most popular tourism destination in the Arab region.  ...  Destination image can equally be construed as having effects on the attitudes of the tourists at the end of their actual visitation and the satisfaction of a tourist with his or her travel experiences  ...  There is a mediating effect of tourist satisfaction on the relationship between destination image and revisit intention. II.  ... 
doi:10.5281/zenodo.1097255 fatcat:7iywxewfnfefxhvdcvjw5horlu

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings

Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
2018 2018 IEEE International Conference on Data Mining Workshops (ICDMW)  
In recent times, different variants of deep learning algorithms have been explored in this setting to improve the task of making a personalized recommendation with user-item interaction data.  ...  By using both supervised rate prediction task and unsupervised clustering in latent item space, we demonstrate that our proposed approach achieves better generalization ability in prediction as well as  ...  ACKNOWLEDGMENT The authors gratefully acknowledge Dijana Tolic for useful directions and comments regarding NMF and Deep Semi-NMF approach.  ... 
doi:10.1109/icdmw.2018.00183 dblp:conf/icdm/KrishnaGA18 fatcat:fpimimjpufa33bpyywkf33moxu

What do Bias Measures Measure? [article]

Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang
2021 arXiv   pre-print
While many existing works propose bias evaluation methodologies for different tasks, there remains a need to cohesively understand what biases and normative harms each of these measures captures and how  ...  To address this gap, this work presents a comprehensive survey of existing bias measures in NLP as a function of the associated NLP tasks, metrics, datasets, and social biases and corresponding harms.  ...  Thus, we recommend treating documentation as a continuous process and revisiting the questions every so often.  ... 
arXiv:2108.03362v1 fatcat:migucaqmgne3hiyirl755o4dpu

Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation [article]

Miriam Fernández and Alejandro Bellogín and Iván Cantador
2021 arXiv   pre-print
Motivated by this fact, in this paper we present an analysis of the effect of some of the most popular recommendation algorithms on the spread of misinformation in Twitter.  ...  Recommendation algorithms have been pointed out as one of the major culprits of misinformation spreading in the digital sphere.  ...  Acknowledgements This work has been co-funded by H2020 Co-Inform (ID:770302) and HERoS (ID:101003606) projects and the Spanish Ministry of Science and Innovation (project reference: PID2019-108965GB-I00  ... 
arXiv:2103.14748v1 fatcat:x3xbvwajdjbojpyzfd34gngq2m

Methods for web revisitation prediction: survey and experimentation

George Papadakis, Ricardo Kawase, Eelco Herder, Wolfgang Nejdl
2015 User modeling and user-adapted interaction  
In this article, we present a systematic overview of revisitation prediction techniques, distinguishing them into two main types and several subtypes.  ...  Several browser plugins and extensions have been proposed to better support the long tail of less frequently visited pages, using recommendation and prediction techniques.  ...  Due to the power-law distribution of revisitations, their recommendations typically exhibit high levels of stability, biased towards popular and/or frequently accessed pages.  ... 
doi:10.1007/s11257-015-9161-7 fatcat:gfvdvgywhjfshhh6fgq226wudi

Reward Reports for Reinforcement Learning [article]

Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron Snoswell
2022 arXiv   pre-print
The desire to build good systems in the face of complex societal effects requires a dynamic approach towards equity and access.  ...  Meanwhile, recent work in reinforcement learning design has shown that the effects of optimization objectives on the resultant system behavior can be wide-ranging and unpredictable.  ...  ACKNOWLEDGMENTS The authors would like to acknowledge the Center for Human Compatible AI and the Center for Long Term Cybersecurity for their support. Manuscript submitted to ACM  ... 
arXiv:2204.10817v2 fatcat:a3ozbwynfbaofagn7ggyqmztei

Responsible Data Integration: Next-generation Challenges

Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish
2022 Proceedings of the 2022 International Conference on Management of Data  
We focus on three critical aspects: (1) the requirements to be considered for evaluating and auditing data integration tasks for quality and bias; (2) the data integration tasks that elicit attention to  ...  data responsibility measures and methods to satisfy these requirements; and, (3) techniques, tasks, and open problems in data integration that help achieve data responsibility.  ...  Jagadish was supported in part by the National Science Foundation under grants 1741022 and 1934565.  ... 
doi:10.1145/3514221.3522567 fatcat:edej7kctuzfulndxordhfpnliq

Destination image as a mediator between perceived risks and revisit intention: A case of post-disaster Japan

Elaine Yin Teng Chew, Siti Aqilah Jahari
2014 Tourism Management  
This study draws new insights by examining (1) the effects of perceived risks on destination image, and (2) the mediating role of destination image between perceived risks and revisit intention of repeat  ...  Several managerial implications concerning the management of risk perceptions and the promotion of risky destinations are discussed in this study.  ...  The authors would also like to thank the three anonymous reviewers and Prof.  ... 
doi:10.1016/j.tourman.2013.07.008 fatcat:34g2knh6lnethl3spedglh3v3u

Scanning the Dial: The Rapid Recognition of Music Genres

Robert O. Gjerdingen, David Perrott
2008 Journal of New Music Research  
These evaluation biases, which pose classic nature-versus-nurture questions, may or may not impinge on genre classifications.  ...  Nonetheless, the basic results of ''Scanning the Dial'' were so striking and consistent across both participants and genres that we feel there is still value in revisiting its methods and results in some  ... 
doi:10.1080/09298210802479268 fatcat:hgvkwo32tra7rhjv4z5tguay4m

Smartphone App Usage Analysis: Datasets, Methods, and Applications

Tong Li, Tong Xia, Huandong Wang, Zhen Tu, Sasu Tarkoma, Zhu Han, Pan Hui
2022 IEEE Communications Surveys and Tutorials  
Our survey summarizes advanced technologies and key patterns in smartphone app usage behaviors, all of which have significant implications for all relevant stakeholders, including academia and industry  ...  We then systematically summarize the related studies of app usage analysis in three domains: app domain, user domain, and smartphone domain.  ...  Yong Li for all of the support and valuable discussions.  ... 
doi:10.1109/comst.2022.3163176 fatcat:yj656343ovevdldtiw6vf254ue
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