Search Results - subject:"Recommendation System"

Interpolating Item and User Fairness in Recommendation Systems

Chen, Qinyi; Liang, Jason Cheuk Nam; Golrezaei, Negin; … - 2023

Online platforms employ recommendation systems to enhance customer engagement and drive revenue. However, in a multi-sided platform where the platform interacts with diverse stakeholders such as sellers (items) and customers (users), each with their own desired outcomes, finding an appropriate...

Persistent link: https://www.econbiz.de/10014347647

Facilitating innovation in the API economy : privacy-enhanced and novelty-aware API recommendation for enterprises

Xin, Baogui; Yan, Chao; Cao, Yuxuan; Bilal, Muhammad - In: Journal of innovation & knowledge : JIK 8 (2023) 3, pp. 1-9

Web APIs provide enterprises with a new way of driving innovations of new technology with limited resources. API recommendations greatly alleviate the selection burdens of enterprises in identifying potential useful APIs to meet their business demands. However, these approaches disregard the...

Persistent link: https://www.econbiz.de/10014388848

Recommender systems and supplier competition on platforms

Fletcher, Amelia; Ormosi, Peter L.; Savani, Rahul - In: Journal of competition law & economics 19 (2023) 3, pp. 397-426

Persistent link: https://www.econbiz.de/10014427365

Improving the effectiveness of personalized recommendations through attributional cues

Weidig, Jakob; Kühnl, Christina - In: Psychology & marketing 40 (2023) 12, pp. 2559-2575

Persistent link: https://www.econbiz.de/10014432501

The bright side of lower quality : evidence from restaurant exploration

Carrera, Clara; Martínez-de-Albéniz, Victor; Sosa, Manuel - 2023 - Revised version of 2020/29/TOM

Persistent link: https://www.econbiz.de/10014364609

Estimating serendipity in content-based recommender systems

Hertz, Alain; Kuflik, Tsvika; Tuval, Noa - 2023

Persistent link: https://www.econbiz.de/10014364643

Digital Content Creation : An Analysis of the Impact of Recommendation Systems

Qian, Kun; Jain, Sanjay - 2023

. Since the creators' revenues depend on their demand, the criteria of demand allocation embedded in the recommendation system … may influence creators' content creation behavior. In this paper, we study how a platform's recommendation system can … more knowledgeable and less dependent on the recommendation system. In addition, we find that the platform, consumers, and …

Persistent link: https://www.econbiz.de/10014263970

Communicating preferences to improve recommendations

Habibi, Amir - 2023

I study a cheap talk model between a buyer and a seller with two goods for sale. There is two-sided (independent) private information with sequential, two-way communication. In the first stage, the buyer communicates her private preferences to the seller. In the second stage, the seller...

Persistent link: https://www.econbiz.de/10014479178

Paying with personal data

Natvik, Gisle James; Tangerås, Thomas P. - 2023

We study commercialization of personal data through personalized advertising by a content platform. Content consumption generates productive data about consumer preferences. The firm invests in artificial intelligence (AI) to improve analytical power and in quality to stimulate content...

Persistent link: https://www.econbiz.de/10014440751

Recommending for a multi-sided marketplace : a multi-objective hierarchical approach

Wang, Yuyan; Tao, Long; Zhang, Xian Xing - 2023

Persistent link: https://www.econbiz.de/10014505347