adding more info to model card.

README.md

@@ -12,3 +12,43 @@ tags:
 #metrics:
 #- {metric_0}  # Example: wer. Use metric id from https://hf.co/metrics
 ---
+
+# `paper-rec` Model Card
+
+Last updated: 2022-02-04
+
+## Model Details
+`paper-rec` goal is to recommend users what scientific papers to read next based on their preferences. This is a test model used to explore Hugging Face Hub capabilities and identify requirements to enable support for recommendation task in the ecosystem. 
+
+### Model date
+2022-02-04
+
+### Model type
+Recommender System model with support of a Language Model for feature extraction.
+
+### Paper & samples
+The overall idea for `paper-rec` test model is inspired by this work: [NU:BRIEF – A Privacy-aware Newsletter Personalization Engine for Publishers](https://arxiv.org/abs/2109.03955).
+
+However, for `paper-rec`, we use a different language model more suitable for longer text, namely *Sentence Transformers*: [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084).
+
+## Model Use
+The intended direct users are recommender systems' practitioners and enthusiasts that would like to experiment with the task of scientific paper recommendation.
+
+## Data, Performance, and Limitations
+### Data 
+The data used for this model corresponds to the [RSS news feeds for arXiv updates](https://arxiv.org/help/rss) accessed on 2022-02-04. In particular to the ones related to Machine Learning and AI:
+
+1. [Artificial Intelligence](http://arxiv.org/rss/cs.AI)
+1. [Computation and Language](http://arxiv.org/rss/cs.CL)
+1. [Computer Vision and Pattern Recognition](http://arxiv.org/rss/cs.CV)
+1. [Information Retrieval](http://arxiv.org/rss/cs.IR)
+1. [Machine Learning (cs)](http://arxiv.org/rss/cs.LG)
+1. [Machine Learning (stat)](http://arxiv.org/rss/stat.ML)
+
+### Performance 
+N/A
+
+## Limitations
+The model is limited to the papers fetched on 2022-02-04, that is, those papers are the only ones it can recommend.
+
+