Update README.md

README.md

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 # MetaEmbedding
-Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
+Codes for our SIGIR-2019 paper: 
+
+**[Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings](https://arxiv.org/abs/1904.11547)**
+
+This repo includes an example for training Meta-Embedding upon a deepFM model on the binarized MovieLens-1M dataset. The dataset is preprocessed and splitted already.
+
+### Bibtex
+
+```
+@inproceedings{pan2019warm,
+ author = {Pan, Feiyang and Li, Shuokai and Ao, Xiang and Tang, Pingzhong and He, Qing},
+ title = {Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings},
+ booktitle = {Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '19)},
+ year = {2019},
+ location = {Paris, France},
+ doi = {10.1145/3331184.3331268}
+} 
+```