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Found 10 papers, 2 papers with code
The Effect of News Article Quality on Ad Consumption
We conducted a service log analysis and showed that sessions with high-quality news article exposure had more ad consumption than those with low-quality news article exposure.
Decomposition and Interleaving for Variance Reduction of Post-click Metrics
The proposed method involves (1) the decomposition of the post-click metric measurement of a ranking into a click model estimation and a post-click metric measurement of each item in the ranking, and (2) interleaving of multiple rankings to produce a single ranking that preferentially exposes items possessing a high population variance.
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks
To improve the prediction performance for the two different types of discontinuations and for the ad creatives that contribute to sales, we introduce two new techniques: (1) a two-term estimation technique with multi-task learning and (2) a click-through rate-weighting technique for the loss function.
Analysis of Short Dwell Time in Relation to User Interest in a News Application
We hypothesize that content with short dwell time is not always low quality and does not always have low user engagement, but is instead related to user interest.
The metrics of keywords to understand the difference between Retweet and Like in each category
Next, we compared RTs and Likes for each category and confirmed that the tendency of categories is different.
Algorithms and System Architecture for Immediate Personalized News Recommendations
Existing studies have not fully discussed system architecture, so a major contribution of this paper is that we demonstrate a system architecture and realize our algorithms and a configuration example implemented on top of Amazon Web Services.
Analysis of Bias in Gathering Information Between User Attributes in News Application
Then, the bias of keywords between attributes was discovered, keywords with bias in behavior among the attributes were found using parameters of regression analysis.
Analysis of User Dwell Time by Category in News Application
We also found a large difference by category in the correlation value between dwell time and length of news page.
Greedy Optimized Multileaving for Personalization
We clarify the challenges of applying this method to personalized rankings.
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative
Furthermore, conditional attention focuses attention of each ad creative with the consideration of its genre and target gender, thus improving conversion prediction accuracy.
