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Evaluating whether users would accept proactive recommendations, how to properly notify them and how to present recommended items are important research questions.
The key technology for proactive recommendations is automatic user profiling and filtering.
Manufacturing operations can take substantial advantage of the proactivity concept by utilising event-driven information systems, able to process the sensor data and to provide proactive recommendations.
For this reason, the success of recommendation systems depends on preliminary design decisions such as the most adequate similarity metric, the right process to infer proactive recommendations, for mentioning a few.
Instead of having to do the heavy lifting on plugging in their preferences, members can now discover new and hard-to-find lifestyle locations through like-minded TrustedPlaces reviewers and via proactive recommendations based on their preferences and their clickstream on the site.
As wearable computing becomes more prevalent and our phones gain contextual awareness, we're going to be relying more on proactive recommendations and alerts, rather than a device that waits for us to pull it out of our pockets to ask it questions.
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It introduced the term proactive recommendation in P2P architecture.
Meanwhile, its information pushing function can offer a proactive recommendation service to users.
Therefore, this paper primarily analyses the performance on mobile information delivery to show the usefulness of a proactive recommendation application.
A proactive recommendation system (PRS) retrieves information relevant to the written text, and presents it without user intervention.
For example, if a user sets his/her status to BUSY, the proactive recommendation services will postpone information pushing to the user.
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