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Personalized click shaping through lagrangian duality for online recommendation
2012
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12
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Most of existing works rely on online user feedback, notably clicks, as the objective and maximize it by showing articles with highest click-through rates. ...
In this paper, we tackle the challenge by proposing personalized click shaping. ...
In this paper, we propose personalized click shaping which combines deep personalization with click shaping for multiobjective online content recommendation. ...
doi:10.1145/2348283.2348350
dblp:conf/sigir/AgarwalCEW12
fatcat:bpz6eazus5esbjeeqpdkckteda
Constrained Optimization for Homepage Relevance
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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Since there are multiple widgets to rank when a user visits, launching a personalized model to simply optimize user engagement such as clicks is often inappropriate. ...
We show through both offline experiments and online A/B tests that our optimization framework can lead to significant improvement in user engagement while satisfying the desired set of business objectives ...
Recommending the best links personalized for each user is an important problem. ...
doi:10.1145/2740908.2745398
dblp:conf/www/AgarwalCYZ15
fatcat:dsdk727lh5b7bp4tpzjoggn6nm
A Real-Time Whole Page Personalization Framework for E-Commerce
[article]
2020
arXiv
pre-print
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E-commerce platforms consistently aim to provide personalized recommendations to drive user engagement, enhance overall user experience, and improve business metrics. ...
Given varied user preferences, optimizing the placement of these carousels is critical for improved user satisfaction. ...
Multi-objective optimization problems in personalized click shaping has also been tackled utilizing a Lagrangian duality formulation [13] . ...
arXiv:2012.04681v1
fatcat:jvnpswxqdvaz7ei7en67ovrkdm
Online Evaluation for Information Retrieval
2016
Foundations and Trends in Information Retrieval
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Personalized click shaping through Lagrangian duality for online recommendation. ...
For example, early work on using historical information for estimating online performance focused on ad placement [Langford et al., 2008] and news recommendation . ...
doi:10.1561/1500000051
fatcat:gzskufswxjdpxe2ordm223vy7e
Provable Convex Co-clustering of Tensors
[article]
2020
arXiv
pre-print
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Finally, we apply the CoCo estimator to the cluster analysis of advertisement click tensor data from a major online company. ...
Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data. ...
Acknowledgments The authors thank Xu Han for his help with the simulation experiments during the revision of this work. ...
arXiv:1803.06518v2
fatcat:tobmphiumjdvbbp7jj37y6aixa
Provable Convex Co-clustering of Tensors
2020
Journal of machine learning research
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Finally, we apply the CoCo estimator to the cluster analysis of advertisement click tensor data from a major online company. ...
Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data. ...
Acknowledgments The authors thank Xu Han for his help with the simulation experiments during the revision of this work. ...
pmid:33312074
pmcid:PMC7731944
fatcat:bjrmicvonfcupkwzctaprj44tq
Email Volume Optimization at LinkedIn
2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16
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system and experimental results from online A/B tests. ...
Online social networking services distribute various types of messages to their members. ...
Agarwal et al. have employed multi-objective optimization for personalized click shaping in online content recommendation in [8] and for displaying promotional widgets on web applications under business ...
doi:10.1145/2939672.2939692
dblp:conf/kdd/GuptaLTVCR16
fatcat:fo672we46jdevjxgxnl6dsewf4
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
[article]
2018
arXiv
pre-print
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Furthermore, if the constraints are non-differentiable, then one cannot optimize the Lagrangian with gradient-based methods. To solve these issues, we introduce the proxy-Lagrangian formulation. ...
This new formulation leads to an algorithm that produces a stochastic classifier by playing a two-player non-zero-sum game solving for what we call a semi-coarse correlated equilibrium, which in turn corresponds ...
For example, "Don't recommend a book to a user if it is in a language they haven't purchased before." ...
arXiv:1809.04198v1
fatcat:mvzkt5dwvzfwlava2hesyqzb64
Learning to rank for information retrieval
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
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Next, we introduce the benchmark datasets for the research on learning to rank and discuss some practical issues regarding the application of learning to rank, such as click-through log mining and training ...
In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, question answering, multimedia retrieval, text summarization, and online advertising ...
Therefore, learning from click-through logs should also be a online process. ...
doi:10.1145/1835449.1835676
dblp:conf/sigir/Liu10
fatcat:ud536unb5ng7pcijqtnlmrxp6y
Introduction to Multi-Armed Bandits
[article]
2022
arXiv
pre-print
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Multi-armed bandits a simple but very powerful framework for algorithms that make decisions over time under uncertainty. ...
Linear contextual bandits have been introduced in Li et al. (2010) , motivated by personalized news recommendations. ...
., web search engines, recommendation systems, or online retailers) often compete with one another. ...
arXiv:1904.07272v7
fatcat:pptyhyyshrdyhhf7bdonz5dsv4
Web data mining
2002
Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV
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., search queries issued by users, and Web pages clicked by visitors. ...
The concept of duality is widely used in the optimization literature. ...
For stable classifiers, Bagging may sometime degrade the accuracy. ...
doi:10.1117/12.460233
dblp:conf/dmkdttt/WiboneleZ02
fatcat:xc4lmp4xgramljlp45p4ynyvji
A Unified Framework for the Scheduling of Guaranteed Targeted Display Advertising Under Reach and Frequency Requirements
2017
Operations Research
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Motivated by recent trends in online advertising and advancements made by online publishers, we consider a new form of contract which allows advertisers to specify the number of unique individuals that ...
We develop an optimization framework that aims for minimal under-delivery and proper spread of each campaign over its targeted demographics. ...
Bharadwaj et al. (2012) consider CPM contracts (for which click-through does not play a role) and minimize a weighted objective composed of linear under-delivery and quadratic spreading metrics. ...
doi:10.1287/opre.2016.1567
fatcat:dkcmyzwsefejthhrrmybb4rtkm
JSE 32:1 Spring 2018 Whole Issue PDF
2018
Journal of Scientific Exploration
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The authors would like to offer a special thanks to JSE Reviewer Paul Smith and to JSE Associate Editor Roger Nelson for their suggestions and input. ...
On the backs of three persons there were chalk marks, most frequently in the shape of a question mark. On Siemiradzki's and my shirtcuffs were numerous s-shaped pencil marks. ...
Lagrangian] of a physical system has a corresponding conservation law." Hamiltonians are generally thought to be equivalent to Lagrangians in this context. ...
doaj:fc8d7b487be74877a7bcb333bf9f1e14
fatcat:nreamijiw5ai5low5zl6kp6k2y
Spike-Timing-Dependent Plasticity
[chapter]
2017
Encyclopedia of Machine Learning and Data Mining
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, for example, for online shopping or to download music. ...
Information management encompasses applications such as product recommendation, crime prediction, personalized search, and customer profiling. ...
We define another operation on case statements max 9E x that is crucial for SDP. ...
doi:10.1007/978-1-4899-7687-1_774
fatcat:2jprihjaxfbtpb3ttwuuz3u34y
Sentiment Analysis
[chapter]
2017
Encyclopedia of Machine Learning and Data Mining
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, for example, for online shopping or to download music. ...
Information management encompasses applications such as product recommendation, crime prediction, personalized search, and customer profiling. ...
We define another operation on case statements max 9E x that is crucial for SDP. ...
doi:10.1007/978-1-4899-7687-1_100512
fatcat:ce4yyqo2czftzcx2kbauglh3fu
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