%0 Conference Paper %1 Wu_2021 %A Wu, Liang %A Grbovic, Mihajlo %A Li, Jundong %B Proceedings of the 14th ACM International Conference on Web Search and Data Mining %D 2021 %I ACM %K carousel information-exploration user-control %P 1047-1055 %R 10.1145/3437963.3441749 %T Toward User Engagement Optimization in 2D Presentation %U https://doi.org/10.1145%2F3437963.3441749 %X Given a collection of items to display, such as news, videos, or products, how can we optimize their presentation order to maximize user engagements, such as click-through rate, viewing time, and the number of purchases? The problem becomes more complicated when the items are displayed in a grid-based, 2-dimensional presentation on a widescreen. For example, many E-Commerce websites such as Amazon and Etsy are displaying their products in a grid-like format, and so are streaming services like Youtube and Netflix. Unlike 1-dimensional space, where products can be naturally ranked in a vertical order, the presentation in 2-dimensional space poses a novel challenge about how to find the best presentation order - should we put the best listing on the top left corner, or the central position on the second row? We are aware that many traditional methods can be applied to solve the problem, such as conducting an attention heatmap web test, or a randomization experiment by shuffling positions of listings. However, both tests are costly to perform and they may downgrade the quality of users' search experience. By contrast, we focus on utilizing existing search log data to reveal propensity of positions, which is readily available and ubiquitously abundant.

@inproceedings{Wu_2021, abstract = {Given a collection of items to display, such as news, videos, or products, how can we optimize their presentation order to maximize user engagements, such as click-through rate, viewing time, and the number of purchases? The problem becomes more complicated when the items are displayed in a grid-based, 2-dimensional presentation on a widescreen. For example, many E-Commerce websites such as Amazon and Etsy are displaying their products in a grid-like format, and so are streaming services like Youtube and Netflix. Unlike 1-dimensional space, where products can be naturally ranked in a vertical order, the presentation in 2-dimensional space poses a novel challenge about how to find the best presentation order - should we put the best listing on the top left corner, or the central position on the second row? We are aware that many traditional methods can be applied to solve the problem, such as conducting an attention heatmap web test, or a randomization experiment by shuffling positions of listings. However, both tests are costly to perform and they may downgrade the quality of users' search experience. By contrast, we focus on utilizing existing search log data to reveal propensity of positions, which is readily available and ubiquitously abundant. }, added-at = {2021-07-09T22:43:46.000+0200}, author = {Wu, Liang and Grbovic, Mihajlo and Li, Jundong}, biburl = {https://www.bibsonomy.org/bibtex/298a96bd6bc18e6bf7612be80a2cb9762/brusilovsky}, booktitle = {Proceedings of the 14th {ACM} International Conference on Web Search and Data Mining}, description = {Toward User Engagement Optimization in 2D Presentation | Proceedings of the 14th ACM International Conference on Web Search and Data Mining}, doi = {10.1145/3437963.3441749}, interhash = {b2ac5419ace87a9d0274e47e33bd9795}, intrahash = {98a96bd6bc18e6bf7612be80a2cb9762}, keywords = {carousel information-exploration user-control}, month = mar, pages = {1047-1055}, publisher = {{ACM}}, timestamp = {2021-07-09T22:43:46.000+0200}, title = {Toward User Engagement Optimization in 2D Presentation}, url = {https://doi.org/10.1145%2F3437963.3441749}, year = 2021 }