Weijie Jiang

Orcid: 0000-0002-1617-8319

Affiliations:
  • Pinterest Inc., San Francisco, California, USA


According to our database1, Weijie Jiang authored at least 13 papers between 2017 and 2026.

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Bibliography

2026
Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest.
Proceedings of the ACM Web Conference 2026, 2026

Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024
Dynamic Bayesian Network-Based Product Recommendation Considering Consumers' Multistage Shopping Journeys: A Marketing Funnel Perspective.
Inf. Syst. Res., 2024

2021
Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards Equity and Algorithmic Fairness in Student Grade Prediction.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance.
User Model. User Adapt. Interact., 2019

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System.
CoRR, 2019

Designing for Serendipity in a University Course Recommendation System.
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Time slice imputation for personalized goal-based recommendation in higher education.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Goal-based Course Recommendation.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018
Connectionist Recommendation in the Wild.
CoRR, 2018

2017
A Dynamic Bayesian Network Based Collaborative Filtering Model for Multi-stage Recommendation.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017


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