Yongjun Chen

Intent Contrastive Learning for Sequential Recommendation

2022 · Proceedings of the ACM Web Conference 2022

Users’ interactions with items are driven by various intents (e.g., preparing for holiday gifts, shopping for fishing equipment, etc.). However, users’ underlying intents are often unobserved/latent, making it challenging to leverage such latent intents for …