Preference

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Preference

Refers to over-the-counter trading. Selection of a dealer to handle a trade despite the dealer's market not being the best available. Often the "preferenced dealer" will then move his market in line.

Preference

The practice of executing trades and other transactions by means other than the open market. For example, if one needs roofing repairs on one's house, one may select one's brother's roofing business even if it is more expensive. In securities, preference often occurs in over-the-counter trades, especially within a brokerage. Preference can, but does not always, lead to economic inefficiency.

preference

The practice of matching customers' buy and sell orders away from the primary exchange. Preferencing is opposed by the New York Stock Exchange because it claims the practice unfairly benefits brokerage firms and doesn't give customer orders the chance to see other customer orders in a public market. Compare in-house trade.
References in periodicals archive ?
The skyline process assigns weights to locations that satisfy user preferences through the skyline among locations in the candidate group created by the candidate generator.
In order to identify user preferences by analyzing information collected from users, a repository is required to store detailed information about visiting records and locations.
Data on whether a user actually visits a location from existing search results is collected to create user preferences to shorten the implicit information-collection period.
The Skyline Module selects locations A and C that are not dependent on specific attributes among extracted locations and calculates a location preference by considering user preferences.
The extent to which user preferences were reflected in the results was also verified through the average values of all attributes of locations included in the ranking.
Since the social search provides the personalized results when user preferences are reflected well, the average distance and price of the search result become low.
It was verified that extreme user preferences and very low search frequencies were well reflected in the search results through the top 20 results of the social search.
Third, we select meaningful places by performing skyline processing with respect to the candidate group and assign weights to attributes based on user preference information to calculate the user preference scores of the candidates.

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