A5049923354- Recommender Systems and Techniques
- Image Retrieval and Classification Techniques
- Advanced Computing and Algorithms
- Advanced Data Compression Techniques
- Topic Modeling
Alibaba Group (China)
2024
Compared to business-to-consumer (B2C) e-commerce systems, consumer-to-consumer (C2C) platforms usually encounter the limited-stock problem, that is, a product can only be sold one time in C2C system. This poses several unique challenges for click-through rate (CTR) prediction. Due limited user interactions each (i.e. item), corresponding item embedding CTR model may not easily converge. makes conventional sequence modeling based approaches cannot effectively utilize history information...
With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role.Recently many DNN-based models which follow a similar Embedding&MLP paradigm have been proposed, achieved good result in image/voice nlp fields. In these methods Wide&Deep model announced by Google plays key role.Most first map large scale sparse input features into low-dimensional vectors are transformed fixed-length vectors, then...