def recommend_items(self,dataset,u,max_items=10,return_scores=True,item_features=None):
        candidates = self.item_similarity_recommender.recommend_items(dataset,u,self.num_candidates,return_scores=False)
        return self.rerank(u,candidates,max_items,return_scores=return_scores)
Recommend new items for a user.
dataset/ETHPy150Open Mendeley/mrec/mrec/reranking_recommender.py/RerankingRecommender.recommend_items