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Nowadays, the problem is more of an implicit bias in how recommendations function — people tend to recommend their former coworkers whom they liked working with.
In addition, my work revealed impacts and fundamental limitations of recommendations from a user's perspective — I addressed bias in recommender evaluation [Recsys 18a], discovered nuanced user preferences overlooked by recommenders [WSDM 19], and demonstrated how recommendations modulate users' choices [Recsys 18b] [WWW 19].
Typical methods of how recommendations are resolved are highlighted.
How recommendations can be ranked or classified in order of importance is discussed.
By January the government must decide which groups should be consulted, and how recommendations will be made.
How recommendations generated from a safety or security review should be handled and resolved is examined in this chapter.
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How many recommendations are required?
How those recommendations will fare before the Legislature is also unclear.
The paper includes discussion on how these recommendations might be transferred to non-English contexts.
Unless we can solve this problem, we don't see how our recommendations for expanding the programs can be accomplished".
A case study is included to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites.
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CEO of Professional Science Editing for Scientists @ prosciediting.com