Telefonaktiebolaget Lm Ericsson (publ)

Abhiroop Gupta

Tony Larsson

Simon Moritz

A recommendation engine of a recommender system provides a mobile device user with a personalized recommendation based on, at least in part, the user's current situation. In some embodiments, the recommender system determines the user's current situation by obtaining information identifying the user's present context(s) (e.g., location context, noise context, time context, etc.). For example, assume the user presently has the location context of 'at home' and the noise context of 'TV on.' From these contexts, the recommender system can categorize the user as being in the &#x201c;at home relaxing&#x201d; situation.

Method for providing a recommendation such as a personalized recommendation, recommender system, and computer program product comprising a recommender computer program

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Sundbyberg, Sweden

Abhiroop Gupta