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ORCIDMounia Lalmas-Roelleke
Mounia Lalmas
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- affiliation: Spotify
- affiliation (former): Yahoo! Labs London, UK
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2020 – today
- 2024
[c193]Azin Ghazimatin
, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas:
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CIKM 2024: 4487-4495- [c192]Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. WWW (Companion Volume) 2024: 403-412 - [c191]Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. WWW (Companion Volume) 2024: 1798-1802 - [c190]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. WWW 2024: 3432-3443 - [i23]Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Benjamin A. Carterette, Manuel Mai, Shubham Bansal, Gwo Liang Lien, Andrey Gatash, Roberto Sanchis-Ojeda, Mounia Lalmas:
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics. CoRR abs/2403.00133 (2024) - [i22]Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Ian Anderson, Mounia Lalmas:
Generalized User Representations for Transfer Learning. CoRR abs/2403.00584 (2024) - [i21]Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. CoRR abs/2403.05185 (2024) - [i20]Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas:
Towards Graph Foundation Models for Personalization. CoRR abs/2403.07478 (2024) - [i19]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. CoRR abs/2404.15691 (2024) - [i18]Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai:
Diffusion Model for Slate Recommendation. CoRR abs/2408.06883 (2024) - [i17]Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas:
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CoRR abs/2410.16148 (2024) - 2023
- [c189]Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas:
Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. CIKM 2023: 4759-4765 - [c188]Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786 - [c187]Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek:
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. KDD 2023: 1687-1697 - [c186]Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara:
Calibrated Recommendations as a Minimum-Cost Flow Problem. WSDM 2023: 571-579 - [e16]Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo L. T. Santos:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. ACM 2023 [contents] - [i16]Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek:
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. CoRR abs/2307.09943 (2023) - 2022
- [c185]Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas:
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS 2022 - [c184]Federico Tomasi, Mounia Lalmas, Zhenwen Dai:
Efficient inference for dynamic topic modeling with large vocabularies. UAI 2022: 1950-1959 - [c183]Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas:
Variational User Modeling with Slow and Fast Features. WSDM 2022: 271-279 - [c182]Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas:
Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. WWW 2022: 2433-2441 - [c181]Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas:
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. WWW 2022: 2936-2945 - [c180]Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara:
Using Survival Models to Estimate User Engagement in Online Experiments. WWW 2022: 3186-3195 - [i15]Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas:
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. CoRR abs/2204.10463 (2022) - [i14]Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas:
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR abs/2210.05446 (2022) - 2021
- [c179]Lucas Maystre, Nagarjuna Kumarappan, Judith Bütepage, Mounia Lalmas:
Collaborative Classification from Noisy Labels. AISTATS 2021: 1639-1647 - [c178]Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas:
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. CIKM 2021: 3707-3716 - [c177]Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas:
Multi-Task Learning of Graph-based Inductive Representations of Music Content. ISMIR 2021: 602-609 - [c176]Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette:
Neural Instant Search for Music and Podcast. KDD 2021: 2984-2992 - [c175]Judith Bütepage, Lucas Maystre, Mounia Lalmas:
Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty. ECML/PKDD (2) 2021: 84-99 - [c174]Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas:
Shifting Consumption towards Diverse Content on Music Streaming Platforms. WSDM 2021: 238-246 - [c173]Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas:
Where To Next? A Dynamic Model of User Preferences. WWW 2021: 3210-3220 - [i13]Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke:
Model Selection for Production System via Automated Online Experiments. CoRR abs/2105.13420 (2021) - 2020
- [c172]Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas:
Query Understanding for Surfacing Under-served Music Content. CIKM 2020: 2765-2772 - [c171]Mounia Lalmas:
Personalising and Diversifying the Listening Experience. ICTIR 2020: 3 - [c170]Rishabh Mehrotra, Niannan Xue, Mounia Lalmas:
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. KDD 2020: 3224-3233 - [c169]Liangjie Hong, Mounia Lalmas:
Tutorial on Online User Engagement: Metrics and Optimization. KDD 2020: 3551-3552 - [c168]Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas:
Model Selection for Production System via Automated Online Experiments. NeurIPS 2020 - [c167]Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas:
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys 2020: 53-62 - [c166]Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas:
Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. RecSys 2020: 687-691 - [c165]Yuan Tian, Ke Zhou, Mounia Lalmas, Dan Pelleg:
Identifying Tasks from Mobile App Usage Patterns. SIGIR 2020: 2357-2366 - [c164]Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai:
Stochastic Variational Inference for Dynamic Correlated Topic Models. UAI 2020: 859-868 - [c163]Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu, Dan Pelleg:
Cohort Modeling Based App Category Usage Prediction. UMAP 2020: 248-256 - [c162]Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas:
Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues. WebSci 2020: 174-183 - [c161]Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas:
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. WWW (Companion Volume) 2020: 694-702 - [c160]Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas:
Representativeness of Abortion Legislation Debate on Twitter: A Case Study in Argentina and Chile. WWW (Companion Volume) 2020: 765-774 - [c159]Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas:
Algorithmic Effects on the Diversity of Consumption on Spotify. WWW 2020: 2155-2165 - [e15]James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang:
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020. ACM 2020, ISBN 978-1-4503-6822-3 [contents] - [i12]Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas:
Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues. CoRR abs/2005.10019 (2020)
2010 – 2019
- 2019
- [j60]Gabriele Tolomei, Mounia Lalmas, Ayman Farahat, Andrew Haines:
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction. Int. J. Data Sci. Anal. 7(1): 53-66 (2019) - [j59]Dimitar Nikolov, Mounia Lalmas, Alessandro Flammini, Filippo Menczer:
Quantifying Biases in Online Information Exposure. J. Assoc. Inf. Sci. Technol. 70(3): 218-229 (2019) - [c158]Mounia Lalmas:
Engagement, Metrics and Personalisation: the Good, the Bad and the Ugly. UMAP 2019: 2 - [c157]Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas:
How Representative is an Abortion Debate on Twitter? WebSci 2019: 133-134 - [c156]Marc Bron, Ke Zhou, Andy Haines, Mounia Lalmas:
Uncovering Bias in Ad Feedback Data Analyses & Applications✱. WWW (Companion Volume) 2019: 614-623 - [c155]Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian:
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. WWW 2019: 1256-1267 - [c154]Liangjie Hong, Mounia Lalmas:
Tutorial on Online User Engagement: Metrics and Optimization. WWW (Companion Volume) 2019: 1303-1305 - [c153]Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas:
Deriving User- and Content-specific Rewards for Contextual Bandits. WWW 2019: 2680-2686 - 2018
- [j58]Nitesh Goyal, Marc Bron, Mounia Lalmas, Andrew Haines, Henriette Cramer:
Designing for mobile experience beyond the native ad click: Exploring landing page presentation style and media usage. J. Assoc. Inf. Sci. Technol. 69(7): 913-923 (2018) - [c152]Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz:
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. CIKM 2018: 2243-2251 - [c151]Mounia Lalmas, Liangjie Hong:
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce. WSDM 2018: 781-782 - [e14]Pierre-Antoine Champin, Fabien Gandon, Mounia Lalmas, Panagiotis G. Ipeirotis:
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018. ACM 2018 [contents] - [e13]Pierre-Antoine Champin, Fabien Gandon, Mounia Lalmas, Panagiotis G. Ipeirotis:
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018. ACM 2018 [contents] - [r10]Jaap Kamps, Mounia Lalmas:
Relationships in Structured Text Retrieval. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Jaap Kamps, Mounia Lalmas:
Structure Weight. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Jaap Kamps, Mounia Lalmas:
Term Statistics for Structured Text Retrieval. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Mounia Lalmas, Ricardo Baeza-Yates:
Structured Document Retrieval. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Mounia Lalmas, Andrew Trotman:
XML Retrieval. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]Dimitar Nikolov, Mounia Lalmas, Alessandro Flammini, Filippo Menczer:
Quantifying Biases in Online Information Exposure. CoRR abs/1807.06958 (2018) - 2017
- [j57]Yanwu Yang, Yinghui (Catherine) Yang, Bernard J. Jansen, Mounia Lalmas:
Computational Advertising: A Paradigm Shift for Advertising and Marketing? IEEE Intell. Syst. 32(3): 3-6 (2017) - [j56]Janette Lehmann, Carlos Castillo, Mounia Lalmas, Ricardo Baeza-Yates:
Story-focused reading in online news and its potential for user engagement. J. Assoc. Inf. Sci. Technol. 68(4): 869-883 (2017) - [j55]Ioannis Arapakis, Berkant Barla Cambazoglu, Mounia Lalmas:
On the feasibility of predicting popular news at cold start. J. Assoc. Inf. Sci. Technol. 68(5): 1149-1164 (2017) - [c150]Mounia Lalmas:
“Engage moi”: From retrieval effectiveness, user satisfaction to user engagement. EGC 2017: 1-2 - [c149]Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas:
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. KDD 2017: 465-474 - [c148]Marc Bron, Miriam Redi, Mounia Lalmas, Fabrizio Silvestri, Huw Evans, Mahlon Chute:
Friendly, Appealing or Both?: Characterising User Experience in Sponsored Search Landing Pages. WWW (Companion Volume) 2017: 699-707 - [c147]Steven Van Canneyt, Marc Bron, Andy Haines, Mounia Lalmas:
Describing Patterns and Disruptions in Large Scale Mobile App Usage Data. WWW (Companion Volume) 2017: 1579-1584 - 2016
- [j54]Ilaria Bordino, Mounia Lalmas, Yelena Mejova, Olivier Van Laere:
Beyond entities: promoting explorative search with bundles. Inf. Retr. J. 19(5): 447-486 (2016) - [c146]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Encouraging Diversity- and Representation-Awareness in Geographically Centralized Content. IUI 2016: 7-18 - [c145]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Data Portraits and Intermediary Topics: Encouraging Exploration of Politically Diverse Profiles. IUI 2016: 228-240 - [c144]Dmitry Lagun, Mounia Lalmas:
Understanding User Attention and Engagement in Online News Reading. WSDM 2016: 113-122 - [c143]Ke Zhou, Miriam Redi, Andrew Haines, Mounia Lalmas:
Predicting Pre-click Quality for Native Advertisements. WWW 2016: 299-310 - [c142]Nicola Barbieri, Fabrizio Silvestri, Mounia Lalmas:
Improving Post-Click User Engagement on Native Ads via Survival Analysis. WWW 2016: 761-770 - [e12]Ben Carterette, Hui Fang, Mounia Lalmas, Jian-Yun Nie:
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016. ACM 2016, ISBN 978-1-4503-4497-5 [contents] - [i10]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Data Portraits and Intermediary Topics: Encouraging Exploration of Politically Diverse Profiles. CoRR abs/1601.00481 (2016) - [i9]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Sentiment Visualisation Widgets for Exploratory Search. CoRR abs/1601.02071 (2016) - 2015
- [c141]Eduardo Graells-Garrido, Mounia Lalmas, Filippo Menczer:
First Women, Second Sex: Gender Bias in Wikipedia. HT 2015: 165-174 - [c140]Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri, Gabriele Tolomei:
Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. KDD 2015: 1929-1938 - [c139]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Finding Intermediary Topics Between People of Opposing Views: A Case Study. SPS@SIGIR 2015: 10-16 - [c138]Iris Miliaraki, Roi Blanco, Mounia Lalmas:
From "Selena Gomez" to "Marlon Brando": Understanding Explorative Entity Search. WWW 2015: 765-775 - [e11]Ricardo Baeza-Yates, Mounia Lalmas, Alistair Moffat, Berthier A. Ribeiro-Neto:
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015. ACM 2015, ISBN 978-1-4503-3621-5 [contents] - [i8]David Warnock, Mounia Lalmas:
An Exploration of Cursor tracking Data. CoRR abs/1502.00317 (2015) - [i7]Eduardo Graells-Garrido, Mounia Lalmas, Filippo Menczer:
First Women, Second Sex: Gender Bias in Wikipedia. CoRR abs/1502.02341 (2015) - [i6]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Finding Intermediary Topics Between People of Opposing Views: A Case Study. CoRR abs/1506.00963 (2015) - [i5]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Encouraging Diversity- and Representation-Awareness in Geographically Centralized Content. CoRR abs/1510.01920 (2015) - 2014
- [b3]Mounia Lalmas, Heather O'Brien, Elad Yom-Tov:
Measuring User Engagement. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01161-0, pp. 1-132 - [j53]Ioannis Arapakis, Mounia Lalmas, Hakan Ceylan, Pinar Donmez:
Automatically embedding newsworthy links to articles: From implementation to evaluation. J. Assoc. Inf. Sci. Technol. 65(1): 129-145 (2014) - [j52]Ioannis Arapakis, Mounia Lalmas, Berkant Barla Cambazoglu, Mari-Carmen Marcos, Joemon M. Jose:
User engagement in online News: Under the scope of sentiment, interest, affect, and gaze. J. Assoc. Inf. Sci. Technol. 65(10): 1988-2005 (2014) - [j51]Ilaria Bordino, Olivier Van Laere, Mounia Lalmas, Yelena Mejova:
"Driving curiosity in search with large-scale entity networks" by Ilaria Bordino, Mounia Lalmas, Yelena Mejova, and Olivier Van Laere with Martin Vesely as coordinator. SIGWEB Newsl. 2014(Autumn): 5:1-5:12 (2014) - [c137]Ioannis Arapakis, Mounia Lalmas, George Valkanas:
Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures. CIKM 2014: 1439-1448 - [c136]Olivier Van Laere, Ilaria Bordino, Yelena Mejova, Mounia Lalmas:
DEESSE: entity-Driven Exploratory and sErendipitous Search SystEm. CIKM 2014: 2072-2074 - [c135]Eduardo Graells-Garrido, Mounia Lalmas:
Balancing diversity to counter-measure geographical centralization in microblogging platforms. HT 2014: 231-236 - [c134]Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates:
Sentiment Visualisation Widgets for Exploratory Search. HT (Doctoral Consortium / Late-breaking Results / Workshops) 2014 - [c133]Janette Lehmann, Claudia Müller-Birn, David Laniado, Mounia Lalmas, Andreas Kaltenbrunner:
Reader preferences and behavior on Wikipedia. HT 2014: 88-97 - [c132]Nicola J. Bidwell, Simon Robinson, Elina Vartiainen, Matt Jones, Masbulele Jay Siya, Thomas Reitmaier, Gary Marsden, Mounia Lalmas:
Designing Social Media for Community Information Sharing in Rural South Africa. SAICSIT 2014: 104 - [c131]Ioannis Arapakis, Berkant Barla Cambazoglu, Mounia Lalmas:
On the Feasibility of Predicting News Popularity at Cold Start. SocInfo 2014: 290-299 - [c130]Horatiu S. Bota, Ke Zhou, Joemon M. Jose, Mounia Lalmas:
Composite retrieval of heterogeneous web search. WWW 2014: 119-130 - [c129]Eduardo Graells-Garrido, Mounia Lalmas, Daniele Quercia:
People of opposing views can share common interests. WWW (Companion Volume) 2014: 281-282 - 2013
- [j50]Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas:
Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems. SIGIR Forum 47(2): 64-67 (2013) - [c128]Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez:
Measuring inter-site engagement. IEEE BigData 2013: 228-236 - [c127]Janette Lehmann, Mounia Lalmas, Ricardo Baeza-Yates, Elad Yom-Tov:
Networked user engagement. UEO@CIKM 2013: 7-10 - [c126]Ilaria Bordino, Yelena Mejova, Mounia Lalmas:
Penguins in sweaters, or serendipitous entity search on user-generated content. CIKM 2013: 109-118 - [c125]Janette Lehmann, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates:
Online multitasking and user engagement. CIKM 2013: 519-528 - [c124]Ke Zhou, Mounia Lalmas, Tetsuya Sakai, Ronan Cummins, Joemon M. Jose:
On the reliability and intuitiveness of aggregated search metrics. CIKM 2013: 689-698 - [c123]Diego Sáez-Trumper, Carlos Castillo, Mounia Lalmas:
Social media news communities: gatekeeping, coverage, and statement bias. CIKM 2013: 1679-1684 - [c122]Ke Zhou, Stewart Whiting, Joemon M. Jose, Mounia Lalmas:
The Impact of Temporal Intent Variability on Diversity Evaluation. ECIR 2013: 820-823 - [c121]Janette Lehmann, Carlos Castillo, Mounia Lalmas, Ethan Zuckerman:
Transient News Crowds in Social Media. ICWSM 2013 - [c120]Thomas Roelleke, Hany Azzam, Marco Bonzanini, Miguel Martinez-Alvarez, Mounia Lalmas:
The D2Q2 Framework: On the Relationship and Combination of Language Modelling and TF-IDF. LWA 2013: 33-40 - [c119]Stewart Whiting, Ke Zhou, Joemon M. Jose, Mounia Lalmas:
Temporal variance of intents in multi-faceted event-driven information needs. SIGIR 2013: 989-992 - [c118]Pablo Castells, Frank Hopfgartner