KDDCUP_2020_MultimodalitiesRecall_3rd_Place

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KDDCUP_2020_MultimodalitiesRecall_3rd_Place

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# KDD CUP 2020: Multimodalities Recall
### Team: aister
***
+ Members: Jianqiang Huang, Yi Qi, Ke Hu, Bohang Zheng, Mingjian Chen, Xingyuan Tang, Tan Qu, Jun Lei
+ Team Introduction: Most of our members come from the Search Ads Algorithm Team of the Meituan Dianping Advertising Platform Department. We participated in three of the five competitions held by KDD CUP 2020 and achieved promising results. We won first place in Debiasing(1/1895), first place in AutoGraph(1/149), and third place in Multimodalities Recall(3/1433).
+ Based on the business scenario of Meituan and Dianping App, the Search Ads Algorithm Team of Meituan Dianping has rich expertise in innovation and algorithm optimization in the field of cutting-edge technology, including but not limited to, conducting algorithm research and application in the fileds of Debiasing, Graph Learning and Multimodalities.
+ If you are interested in our team or would like to communicate with our team(b.t.w., we are hiring), you can email to huangjianqiang@meituan.com.

### Introduction
***
+ For this competition, the official have prepared the real-scenario multimodal data from the mobile Taobao, one of the largest e-commerce platforms. The dataset consists of Taobao search queries and product image features, which is organized into a query-based multimodal retrieval task.
Given a search query in natural language form, the participating teams are required to implement a model to rank a collection of candidate products based on their image features. Most of these queries are noun phrases searching for products with specific characteristics. The images of the candidate products are provided by the sellers displaying the product features. Candidate products most relevant to the query are regarded as the ground truth of the query, which are expected to be top-ranked by the participating models.
Please refer to the competition official website for more details: https://tianchi.aliyun.com/competition/entrance/231786/information

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