Biasing queries to determine suggested queries

Data processing: database and file management or data structures – Database and file access – Query optimization

Reexamination Certificate

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C707S759000, C707S767000, C707S723000, C715S816000

Reexamination Certificate

active

07844599

ABSTRACT:
Applying a bias when determining a suggested search query. Examples of biases that can be applied include, but are not limited to, temporal biases and monetization biases. Temporal biasing involves increasing a weight associated with a search query, based on a temporal attribute associated with the query. Search queries may also have associated with them a parameter such as frequency, count, etc. One of these parameters may serve as a weight. In order to determine suggested search queries, the temporal attribute is used to modify or bias the parameter (e.g., frequency parameter). Thus, the weight of the search query is modified to temporally bias the query. The suggested search queries are determined based on the biased parameter.

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