Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: obtaining, by at least one computing device, data about a plurality of items consumed using a plurality of devices, at least one of the devices is a multi-user device; generating, by the at least one computing device, a plurality of entities, each entity associated with a type of consumption different from other entities in the plurality, each entity being identified independent of those users of a plurality of users that use the plurality of devices to consume the plurality of items; and making, by the at least one computing device and using an entity of the plurality, a recommendation comprising one or more items of the plurality for consumption using a device of the plurality, the recommendation being made independent of information identifying which one or more users of the plurality is using the device. 2. The method of claim 1, the generating further comprising: generating an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption. 3. The method of claim 1, the generating further comprising: generating an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. 4. The method of claim 1, making a recommendation further comprising: identifying the entity of the plurality of entities using information about a time interval to consume the one or more items of the recommendation and information identifying the device of the plurality to be used to consume the one or more items of the recommendation, the identifying further using a probability distribution determined for the time interval, the probability distribution comprising a probability for each entity of the plurality, each entity's probability indicating a likelihood of the device being used for the entity's type of consumption for the time interval. 5. The method of claim 1, making a recommendation further comprising: generating an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. generating an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption; identifying the entity of the plurality of entities using information about an item being consumed using the device of the plurality and information identifying the device of the plurality, the identifying using the entity distribution over device and the item distribution over entity. 6. The method of claim 1, making a recommendation further comprising: ranking the plurality of items according to each item's probability of belonging to the entity used to make the recommendation; and selecting a number of items from the plurality using the ranking. 7. The method of claim 6, selecting further comprising: selecting a number of items from the plurality using the ranking and at least one filter. 8. A system comprising: at least one computing device comprising one or more processors to execute and memory to store instructions to: obtain data about a plurality of items consumed using a plurality of devices, at least one of the devices is a multi-user device; generate a plurality of entities, each entity associated with a type of consumption different from other entities in the plurality, each entity being identified independent of those users of a plurality of users that use the plurality of devices to consume the plurality of items; and make, using an entity of the plurality, a recommendation comprising one or more items of the plurality for consumption using a device of the plurality, the recommendation being made independent of information identifying which one or more users of the plurality is using the device. 9. The system of claim 8, the instructions to generate further comprising instructions to: generate an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption. 10. The system of claim 8, the instructions to generate further comprising instructions to: generate an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. 11. The system of claim 8, the instructions to make a recommendation further comprising instructions to: identify the entity of the plurality of entities using information about a time interval to consume the one or more items of the recommendation and information identifying the device of the plurality to be used to consume the one or more items of the recommendation, the identifying further using a probability distribution determined for the time interval, the probability distribution comprising a probability for each entity of the plurality, each entity's probability indicating a likelihood of the device being used for the entity's type of consumption for the time interval. 12. The system of claim 8, the instructions to make a recommendation further comprising instructions to: generate an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. generate an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption; identify the entity of the plurality of entities using information about an item being consumed using the device of the plurality and information identifying the device of the plurality, the identifying using the entity distribution over device and the item distribution over entity. 13. The system of claim 8, the instructions to make a recommendation further comprising instructions to: rank the plurality of items according to each item's probability of belonging to the entity used to make the recommendation; and select a number of items from the plurality using the ranking. 14. The system of claim 13, the instructions to select further comprising instructions to: select a number of items from the plurality using the ranking and at least one filter. 15. A computer readable non-transitory storage medium for tangibly storing thereon computer readable instructions that when executed cause at least one processor to: obtain data about a plurality of items consumed using a plurality of devices, at least one of the devices is a multi-user device; generate a plurality of entities, each entity associated with a type of consumption different from other entities in the plurality, each entity being identified independent of those users of a plurality of users that use the plurality of devices to consume the plurality of items; and make, using an entity of the plurality, a recommendation comprising one or more items of the plurality for consumption using a device of the plurality, the recommendation being made independent of information identifying which one or more users of the plurality is using the device. 16. The medium of claim 15, the instructions to generate further comprising instructions to: generate an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption. 17. The medium of claim 15, the instructions to generate further comprising instructions to: generate an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. 18. The medium of claim 15, the instructions to make a recommendation further comprising instructions to: identify the entity of the plurality of entities using information about a time interval to consume the one or more items of the recommendation and information identifying the device of the plurality to be used to consume the one or more items of the recommendation, the identifying further using a probability distribution determined for the time interval, the probability distribution comprising a probability for each entity of the plurality, each entity's probability indicating a likelihood of the device being used for the entity's type of consumption for the time interval. 19. The medium of claim 15, the instructions to make a recommendation further comprising instructions to: generate an entity distribution over device comprising a probability distribution for each device of the plurality, each device's probability distribution comprising a probability for each entity of the plurality, each entity's probability representing a probability of the device being used to consume one or more items of a type represented by the entity's type of consumption. generate an item probability distribution over entity comprising a probability distribution for each entity of the plurality, each entity's probability distribution comprising a probability for each item of the plurality, each item's probability representing a probability of consumption of the item in a context of the entity's type of consumption; identify the entity of the plurality of entities using information about an item being consumed using the device of the plurality and information identifying the device of the plurality, the identifying using the entity distribution over device and the item distribution over entity. 20. The medium of claim 15, the instructions to make a recommendation further comprising instructions to: rank the plurality of items according to each item's probability of belonging to the entity used to make the recommendation; and select a number of items from the plurality using the ranking. 21. The medium of claim 20, the instructions to select further comprising instructions to: select a number of items from the plurality using the ranking and at least one filter.