Program
ComplexRec 2021 will take place virtually on Saturday September 25 from 15:00-19:00 CEST (13:00-17:00 UTC). As the workshop has been merged with the KARS 2021 workshop, you can find the exact program on the KARS 2021 program page.
You can connect to the virtual session using Zoom using the credentials in the RecSys Conference Hub.
Keynote
Title: Toward the next generation of news recommender systems
Abstract: This talk will discuss the complexities of designing news recommender system (RS) outputs such as newsletters and websites. There will be two main parts to the talk: (1) designing news RS outputs to balance between short- and longer-term objectives; and (2) creating bundled recommendations with the table d’hote (“host’s table”) approach. First, RS often optimize short-term metrics that can be easily measured, but the strategic business goals of the system are typically realized over a longer period of time and are more difficult to measure, e.g., customer lifetime value (CLV), which is the discount sum of expected future cash flows due to the relationship. I will give empirical examples showing how optimizing some short-term news goals can harm the long-term goal. This hazard can be avoided by proposing and testing a causal model linking the short- and long-term goals through mediators. In the case of news RS, the key mediator is engagement, which is how news outputs create value for readers. I will establish short-term engagement metrics. The second part describes the table d’hote approach to create engaging RS outputs such as newsletters, which is motivated by the task of creating other “bundles” such as fine-dining experiences, musical concert set lists and art museum special exhibits. In all of these situations, the sequencing of items is an important consideration beyond more traditional RS goals such as coverage, novelty, diversity and serendipity. Table d’hote builds on communication theories and stratified sampling to create automated bundled news recommendations. It includes a typology of how news creates value for readers through different surveillance and serendipity experiences. I will discuss challenges for future research.
Speaker:
Edward C. Malthouse is the Erastus Otis Haven Professor at Northwestern University and a research fellow at the Media Management Center, a partnership between Medill and Kellogg. He is also the research director of the Medill IMC Spiegel Research Center.
His research interests center on media marketing, database marketing, advertising, new media and integrated marketing communications. He develops statistical models and applies them to large data sets of consumer information to help managers make marketing decisions. Malthouse is also currently the co-editor of “Medill on Media Engagement.” He was the co-editor of the Journal of Interactive Marketing from 2005-2011. His professional experience includes software engineering for AT&T Laboratories, corporate analytics training for Accenture, BNSF, Digitas, Nuoqi and Capital One, and developing segmentations for Cohorts and Financial Cohorts and Motorola.
Accepted papers
- On the extraction and use of arguments in recommender systems: A case study in the e-participation domain. Andrés Segura-Tinoco and Iván Cantador
- Group Match Prediction via Neural Networks. Sunghyun Kim, Minje Jang and Changho Suh
- Reviews Are Gold!? On the Link between Item Reviews and Item Preferences. Tobias Eichinger