Paper Reading: Neural IR Meets Graph Embedding: A Ranking Model for Product Search
This paper claims it is the first study on how to use the click-graph features in neural models for retrieval. The graph embedding techniques proposed in this paper can be plugged into other scenarios where graph-structure information is available(ensemble). 1. Baseline First we describe the basic IR model for product search without proposed graph embedding techniques(baseline). As shown in Figure 1, CNN is used to … Continue reading Paper Reading: Neural IR Meets Graph Embedding: A Ranking Model for Product Search