Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17
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9781450346528

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Learning to Rank with Trust and Distrust in Recommender Systems

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109879 ◽

2017 ◽

Cited By ~ 10

Author(s):

Dimitrios Rafailidis ◽

Fabio Crestani

Keyword(s):

Recommender Systems ◽

Learning To Rank

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Online Recommender System for Personalized Nutrition Advice

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109862 ◽

2017 ◽

Cited By ~ 3

Author(s):

Rodrigo Zenun Franco

Keyword(s):

Recommender System ◽

Personalized Nutrition

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Additive Co-Clustering with Social Influence for Recommendation

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109883 ◽

2017 ◽

Cited By ~ 3

Author(s):

Xixi Du ◽

Huafeng Liu ◽

Liping Jing

Keyword(s):

Social Influence

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Fewer Flops at the Top

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109916 ◽

2017 ◽

Cited By ~ 3

Author(s):

Bibek Paudel ◽

Thilo Haas ◽

Abraham Bernstein

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Recommending Product Sizes to Customers

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109891 ◽

2017 ◽

Cited By ~ 12

Author(s):

Vivek Sembium ◽

Rajeev Rastogi ◽

Atul Saroop ◽

Srujana Merugu

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User Preferences for Hybrid Explanations

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109915 ◽

2017 ◽

Cited By ~ 23

Author(s):

Pigi Kouki ◽

James Schaffer ◽

Jay Pujara ◽

John O'Donovan ◽

Lise Getoor

Keyword(s):

User Preferences

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Practical Lessons from Developing a Large-Scale Recommender System at Zalando

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109897 ◽

2017 ◽

Cited By ~ 7

Author(s):

Antonino Freno

Keyword(s):

Recommender System ◽

Large Scale

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On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109906 ◽

2017 ◽

Cited By ~ 3

Author(s):

Murat Yagci ◽

Tevfik Aytekin ◽

Fikret Gurgen

Keyword(s):

Collaborative Filtering ◽

Recommender Systems ◽

Learning To Rank ◽

Pairwise Learning

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Deep Cross-Domain Fashion Recommendation

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109861 ◽

2017 ◽

Cited By ~ 13

Author(s):

Shatha Jaradat

Keyword(s):

Cross Domain

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Tutorial on Open Source Online Learning Recommenders

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17 ◽

10.1145/3109859.3109937 ◽

2017 ◽

Cited By ~ 1

Author(s):

Róbert Pálovics ◽

Domokos Kelen ◽

András A. Benczúr

Keyword(s):

Online Learning ◽

Open Source

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Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Learning to Rank with Trust and Distrust in Recommender Systems

Online Recommender System for Personalized Nutrition Advice

Additive Co-Clustering with Social Influence for Recommendation

Fewer Flops at the Top

Recommending Product Sizes to Customers

User Preferences for Hybrid Explanations

Practical Lessons from Developing a Large-Scale Recommender System at Zalando

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems

Deep Cross-Domain Fashion Recommendation

Tutorial on Open Source Online Learning Recommenders

Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17
Latest Publications