REVEALING THE INFLUENCE OF USER-CREATED MATERIAL: AN INNOVATIVE STRATEGY FOR PRODUCT SEARCH ENGINE RANKINGS

Authors

  • Emily White Faculty of Business Administration, University of Hong Kong, Hong Kong
  • David Lee Faculty of Business Administration, University of Hong Kong, Hong Kong
  • Jennifer Chen Faculty of Engineering, Chinese University of Hong Kong, Hong Kong

Keywords:

Web Growth, Search Engines, Product Search, Recommender Systems, Decision Accuracy

Abstract

The past two decades have witnessed an unprecedented surge in the growth of the internet, establishing it as a paramount source of information. Concurrently, search engines have evolved into the predominant means for information retrieval and access, emerging as pivotal channels for product promotion and sales (Ghose, Ipeirotis, and Li, 2013). Within this digital landscape, product search and recommender systems, collectively known as online systems, have emerged to aid users in navigating extensive electronic catalogs. These systems are designed with the primary objective of reducing consumers' time investment and purchase risk while enhancing decision-making precision (Pu, Chen, and Kumar, 2008).

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Published

2024-06-10

Issue

Vol. 10 No. 4 (2022)

Section

Articles