A Amazon é bem conhecida por personalização e recomendações, que ajudam os clientes a descobrir itens que eles poderiam não ter encontrado de outra forma. Nesta atualização de seu artigo original, os autores discutem algumas das mudanças à medida que a Amazon cresceu.

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Cite This Study

Smith et al. (Mon,) estudaram essa questão.

synapsesocial.com/papers/69ff8d5964548b97a42d6c8b https://doi.org/https://doi.org/10.1109/mic.2017.72

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Self-Generating a Labor Force for Crowdsourcing: Is Worker Confidence a Predictor of Quality?2015 · 12 citations
2The Netflix Recommender System2015 · 1,332 citations
3Item-based collaborative filtering recommendation algorithms2001 · 9,020 citations
4The YouTube video recommendation system2010 · 1,194 citations
5Estimating the Causal Impact of Recommendation Systems from Observational Data2015 · 97 citations

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Self-Generating a Labor Force for Crowdsourcing: Is Worker Confidence a Predictor of Quality?2015 · 12 citations
2The Netflix Recommender System2015 · 1,332 citations
3Item-based collaborative filtering recommendation algorithms2001 · 9,020 citations
4The YouTube video recommendation system2010 · 1,194 citations
5Estimating the Causal Impact of Recommendation Systems from Observational Data2015 · 97 citations

Duas Décadas de Sistemas de Recomendação na Amazon.com | Synapse