E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact1
University of British Columbia
Abstract
Recommendation agents (RAs) are software agents that elicit the interests or preferences of individual consumers for products, either explicitly or implicitly, and make recommendations accordingly. RAs have the potential to support and improve the quality of the decisions consumers make when searching for and selecting products online. They can reduce the information overload facing consumers, as well as the complexity of online searches. Prior research on RAs has focused mostly on developing and evaluating different underlying algorithms that generate recommendations. This paper instead identifies other important aspects of RAs, namely RA use, RA characteristics, provider credibility, and factors related to…
Citation impact
- FWCI
- 69.18
- Percentile
- 100%
- References
- 173
Authors
2- XXXiao XiaoCorresponding
University of British Columbia
- IBIzak Benbasat
University of British Columbia
Topics & keywords
- Business
- Product (mathematics)
- E-commerce
- Marketing
- Knowledge management
- Industrial organization
- Process management
- Risk analysis (engineering)
- Peace, Justice and strong institutions