One of the most urgent global challenges in the twenty-first century is electronic garbage (e-waste). It is considered a fast-growing type of solid waste. Some of the reasons that make e-waste volume increase exponentially are the demand for the products, the short life span, and planned obsolescence. One of the main problems with e-waste is its toxicity. Recommender systems (RS) have the potential to help reduce e-waste and encourage more sustainable practices as e-waste issues increase and the drive for sustainable consumption grows. Given its potential to help with several overchoice issues, the use of RS cannot be emphasized enough. RS comes in a wide variety of forms with various approaches and ideas. The study is motivated by the growth rate and the harmful impact of e-waste on the environment and human health. This chapter aims to explore the challenges and opportunities to utilize recommender systems in combating the problem of electronic waste. The findings suggest that RS can be used to raise awareness about the dangers of electronic waste to the environment and human health. The RS can suggest nearby regulated recycling centers and give information about the e-waste types accepted. However, RS based on algorithms can induce discrimination. Algorithms frequently favor revenue over sustainability. This study suggests that people need to be educated on RS benefits for the environment. The study recommends more research on how RS can be used effectively and efficiently in combating the problem of e-waste.