Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
Table 6. Reading behavior compared between before (July) and after (August) introduction of the news recommender. * indicates statistically significant difference with p<0.05.
['Attribute', 'July', 'August']
The table shows that when the recommender system is introduced, users’ daily article clicks are more diverse on every attribute except for word embeddings, which suggests our recommender system effectively steers users towards more diverse reading.