23ee13aef276de7ad726eb4825e201d3c885c008,entity2rec/entity2rec.py,Entity2Rec,content_similarities,#Entity2Rec#,63

Before Change

                                                -1))  // append a list of property-specific scores, skip feedback

        if len(sims) == 0:  // no content properties for the item
            sims = 0.5 * np.ones(len(self.properties) - 1)
            return sims

        return np.mean(sims, axis=0)  // return a list of averages of property-specific scores

After Change

            if prop != "feedback":

                sims_prop = []

                for past_item in items_liked_by_user:

                    sims_prop.append(self.relatedness_score(prop, past_item, item))

Instances