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SmartData Collective > Big Data > Data Warehousing > Recommendations Lose Their Luster
Business IntelligenceData Warehousing

Recommendations Lose Their Luster

paulbarsch
paulbarsch
1 Min Read
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Recommendations come from myriad sources such as friends, family, co-workers, online reviews and even e-commerce algorithms. Studies have shown that recommendations are trusted more than information proffered by media sources or corporate advertising.

However, with daily reports of fraud and deception in political and financial spheres, a tide is building that threatens to wash us all in cynicism and suspicion. With “pay to play”, “pay per post” and other hidden agendas, should recommendations still be trusted?


Recommendations come from myriad sources such as friends, family, co-workers, online reviews and even e-commerce algorithms. Studies have shown that recommendations are trusted more than information proffered by media sources or corporate advertising.

However, with daily reports of fraud and deception in political and financial spheres, a tide is building that threatens to wash us all in cynicism and suspicion. With “pay to play”, “pay per post” and other hidden agendas, should recommendations still be trusted?
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