research-article

From chatter to headlines: harnessing the real-time web for personalized news recommendation

Authors:

Gianmarco De Francisci Morales,

Aristides Gionis,

Claudio LuccheseAuthors Info & Claims

WSDM '12: Proceedings of the fifth ACM international conference on Web search and data mining

Pages 153 - 162

https://doi.org/10.1145/2124295.2124315

Published: 08 February 2012 Publication History

Abstract

We propose a new methodology for recommending interesting news to users by exploiting the information in their twitter persona. We model relevance between users and news articles using a mix of signals drawn from the news stream and from twitter: the profile of the social neighborhood of the users, the content of their own tweet stream, and topic popularity in the news and in the whole twitter-land.

We validate our approach on a real-world dataset of approximately 40k articles coming from Yahoo! News and one month of crawled twitter data. We train our model using a learning-to-rank approach and support-vector machines. The train and test set are drawn from Yahoo! toolbar log data. We heuristically identify 3214 users of twitter in the log and use their clicks on news articles to train our system.

Our methodology is able to predict with good accuracy the news articles clicked by the users and rank them higher than other news articles. The results show that the combination of various signals from real-time Web and micro-blogging platforms can be a useful resource to understand user behavior.

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Cited By

Lu JSu R(2024)Graph neural network news recommendation based on weight learning and preference decompositionJournal of Electronic Imaging10.1117/1.JEI.33.1.01100233:01Online publication date: 1-Jan-2024
https://doi.org/10.1117/1.JEI.33.1.011002
Li YYang ZLi XLi Z(2024)CAFI: News Recommendation with Candidate Perception of Fine-Grained Interaction Information2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD61410.2024.10580786(1952-1959)Online publication date: 8-May-2024
https://doi.org/10.1109/CSCWD61410.2024.10580786
Li XLi RPeng QYao J(2024)Graph neural news recommendation based on multi-view representation learningThe Journal of Supercomputing10.1007/s11227-024-06025-9Online publication date: 20-Mar-2024
https://doi.org/10.1007/s11227-024-06025-9
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Index Terms

From chatter to headlines: harnessing the real-time web for personalized news recommendation
1. Information systems
  1. Information systems applications

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSDM '12: Proceedings of the fifth ACM international conference on Web search and data mining

February 2012

792 pages

ISBN:9781450307475

DOI:10.1145/2124295

General Chairs:
Eytan Adar
University of Michigan, USA
,
Jaime Teevan
Microsoft Research, USA
,
Program Chairs:
Eugene Agichtein
Emory University, USA
,
Yoelle Maarek
Yahoo! Research, Israel

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 February 2012

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WSDM'12

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WSDM'12: Fifth ACM International Conference on Web Search and Data Mining

February 8 - 12, 2012

Washington, Seattle, USA

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Cited By

Lu JSu R(2024)Graph neural network news recommendation based on weight learning and preference decompositionJournal of Electronic Imaging10.1117/1.JEI.33.1.01100233:01Online publication date: 1-Jan-2024
https://doi.org/10.1117/1.JEI.33.1.011002
Li YYang ZLi XLi Z(2024)CAFI: News Recommendation with Candidate Perception of Fine-Grained Interaction Information2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD61410.2024.10580786(1952-1959)Online publication date: 8-May-2024
https://doi.org/10.1109/CSCWD61410.2024.10580786
Li XLi RPeng QYao J(2024)Graph neural news recommendation based on multi-view representation learningThe Journal of Supercomputing10.1007/s11227-024-06025-9Online publication date: 20-Mar-2024
https://doi.org/10.1007/s11227-024-06025-9
Corso ADisanto NCorso NLee E(2024)Spatial Analysis of Social Media’s Proxies for Human Emotion and CognitionWisdom, Well-Being, Win-Win10.1007/978-3-031-57860-1_13(175-185)Online publication date: 10-Apr-2024
https://doi.org/10.1007/978-3-031-57860-1_13
Huang ZJin BZhao HLiu QLian DTengfei BChen E(2023)Personal or General? A Hybrid Strategy with Multi-factors for News RecommendationACM Transactions on Information Systems10.1145/355537341:2(1-29)Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1145/3555373
Kakar SDhaka DMehrotra M(2023)Tweet recommendation using Clustered Bert and Word2vec Models2023 International Conference on Smart Applications, Communications and Networking (SmartNets)10.1109/SmartNets58706.2023.10215867(i-vi)Online publication date: 25-Jul-2023
https://doi.org/10.1109/SmartNets58706.2023.10215867
Talha MKhan HIqbal SAlghobiri MIqbal TFayyaz M(2023)Deep learning in news recommender systems: A comprehensive survey, challenges and future trendsNeurocomputing10.1016/j.neucom.2023.126881562(126881)Online publication date: Dec-2023
https://doi.org/10.1016/j.neucom.2023.126881
Vo T(2023)An integrated topic modeling and auto-encoder for semantic-rich network embedding and news recommendationNeural Computing and Applications10.1007/s00521-023-08697-535:25(18681-18696)Online publication date: 21-Jun-2023
https://doi.org/10.1007/s00521-023-08697-5
Qiu ZHu YWu X(2022)Graph Neural News Recommendation with User Existing and Potential Interest ModelingACM Transactions on Knowledge Discovery from Data10.1145/351170816:5(1-17)Online publication date: 9-Mar-2022
https://dl.acm.org/doi/10.1145/3511708
Li AHe TGuo YLi ZRong YLiu G(2022)Personalized News Recommendation with CNN and Multi-Head Self-Attention2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON54665.2022.9965729(0102-0108)Online publication date: 26-Oct-2022
https://doi.org/10.1109/UEMCON54665.2022.9965729
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