def _renrank_on_topics(self, query_topics, docs):
recommender = self.recommender
results = []
for doc in docs:
score = topic_model.histogram_intersection_kernel(query_topics, recommender.topics[doc])
results.append((doc, score))
return sorted(results, key=itemgetter(1), reverse=True)
def rank_communities_by_topics(self, topics):
similarity_scores = []
for com, com_topics in self.community_topics.items():
score = topic_model.histogram_intersection_kernel(topics, com_topics)
similarity_scores.append((com, score))
return sorted(similarity_scores, key=itemgetter(1), reverse=True)
