1. A method, comprising:
receiving, by a device, user information associated with users of user devices;
receiving, by the device, marketing information associated with advertisements for at least one of products or services;
creating, by the device, user profiles, associated with the users, based on the user information,
each of the user profiles including a user identifier for each user and a plurality of attributes associated with each user;
defining, by the device, at least one particular attribute associated with at least one of the advertisements;
identifying, by the device, a particular user profile, of the user profiles, that includes the at least one particular attribute,
the particular user profile being associated with a particular user, and
the particular user being associated with a particular user device;
determining, by the device, a particular advertisement to provide to the particular user device based on the particular user profile and the marketing information; and
causing, by the device, the particular advertisement to be provided to the particular user device.
2. The method of claim 1, further comprising:
receiving, from the particular user device, feedback associated with the particular advertisement; and
utilizing the feedback to refine the identification of the particular user profile.
3. The method of claim 1, further comprising:
receiving, from the particular user device, feedback associated with the particular advertisement; and
utilizing the feedback to refine a determination of a future advertisement to provide to the particular user device.
4. The method of claim 1, where determining the particular advertisement comprises:
assigning weights to the marketing information;
calculating scores for the advertisements based on the assigned weights; and
selecting the particular advertisement, from the advertisements, based on the calculated scores for the advertisements.
5. The method of claim 1, where identifying the particular user profile comprises:
utilizing the user profiles in a machine learning algorithm; and
solving the machine learning algorithm, based on the user profiles and the at least one particular attribute, to identify the particular user profile.
6. The method of claim 1, where defining the at least one particular attribute comprises:
receiving a request to market a particular product or service of the at least one of the products or the services; and
selecting, based on the request, the at least one particular attribute from a plurality of attributes associated with the user profiles,
the at least one particular attribute being relevant to marketing the particular product or service.
7. The method of claim 1, where the particular user profile includes:
a user identifier for the particular user, and
a plurality of attributes based on information relating to the particular user.
8. A system, comprising:
one or more devices to:
receive user information associated with users of user devices;
receive marketing information associated with advertisements for at least one of products or services;
generate user profiles, associated with the users, based on the user information,
each of the user profiles including a user identifier for each user and a plurality of attributes associated with each user;
determine a plurality of particular attributes associated with at least one of the advertisements;
identify a particular user profile, of the user profiles, that includes the plurality of particular attributes,
the particular user profile being associated with a particular user, and
the particular user being associated with a particular user device;
determine a particular advertisement to provide to the particular user device based on the particular user profile and the marketing information; and
cause the particular advertisement to be provided to the particular user device.
9. The system of claim 8, where the one or more devices are further to:
receive, from the particular user device, feedback associated with the particular advertisement; and
utilize the feedback to modify the identification of the particular user profile.
10. The system of claim 8, where the one or more devices are further to:
receive, from the particular user device, feedback associated with the particular advertisement; and
utilize the feedback to modify the determination of the plurality of particular attributes.
11. The system of claim 8, where, when determining the particular advertisement, the one or more devices are further to:
assign weights to the marketing information;
calculate scores for the advertisements based on the assigned weights; and
select the particular advertisement, from the advertisements, based on the calculated scores for the advertisements and based on the particular user profile.
12. The system of claim 8, where, when identifying the particular user profile, the one or more devices are further to:
utilizing the user profiles in a regularized regression algorithm; and
solve the regularized regression algorithm, based on the user profiles and the plurality of particular attributes, to identify the particular user profile.
13. The system of claim 8, where, when determining the plurality of particular attributes, the one or more devices are further to:
identify a particular product or service, of the at least one of the products or the services, to be marketed; and
select, based on the particular product or service, the plurality of particular attributes from attributes associated with the user profiles,
the plurality of particular attributes being relevant to marketing the particular product or service.
14. The system of claim 8, where, when identifying the particular user profile, the one or more devices are further to:
identify a set of user profiles, from the user profiles, that includes the plurality of particular attributes; and
select the particular user profile from the set of user profiles.
15. A computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors of a device, cause the one or more processors to:
receive user information associated with users of user devices;
receive marketing information associated with advertisements for at least one of products or services;
generate user profiles, associated with the users, based on the user information,
each of the user profiles including a user identifier for each user and a plurality of attributes associated with each user;
determine at least one particular attribute associated with at least one of the advertisements;
identify a particular user profile, of the user profiles, that includes the at least one particular attribute,
the particular user profile being associated with a particular user, and
the particular user being associated with a particular user device;
determine a particular advertisement to provide to the particular user device based on the particular user profile and the marketing information;
cause the particular advertisement to be provided to the particular user device; and
receive, from the particular user device, feedback associated with the particular advertisement.
16. The computer-readable medium of claim 15, further comprising:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
utilize the feedback to modify the identification of the particular user profile.
17. The computer-readable medium of claim 15, further comprising:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
utilize the feedback to:
modify a determination of a future advertisement to provide to the particular user device, or
modify the determination of the at least one particular attribute.
18. The computer-readable medium of claim 15, where the one or more instructions to determine the particular advertisements further comprise:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
assign weights to the marketing information;
calculate scores for the advertisements based on the assigned weights; and
select the particular advertisement, from the advertisements, based on the calculated scores for the advertisements and based on the particular user profile.
19. The computer-readable medium of claim 15, where the one or more instructions to identify the particular user profile further comprise:
one or more instructions that, when executed by the one or more processors, cause the one or more processors to:
utilize the user profiles in a machine learning algorithm; and
solve the machine learning algorithm, based on the user profiles and the at least one particular attribute, to identify the particular user profile.
20. The computer-readable medium of claim 15, where the particular user profile includes:
a user identifier for the particular user, and
a plurality of attributes based on information relating to the particular user.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A semiconductor apparatus provided with a crystalline dielectric film having a perovskite structure, between a first electrode and a second electrode, the semiconductor apparatus comprising:
a discontinuous interface, through which crystallinity becomes discontinuous, in a columnar crystal portion of the crystalline dielectric film,
wherein the columnar crystal portion of the crystalline dielectric film includes a region laminated above and a region laminated below the discontinuous interface.
2. The semiconductor apparatus according to claim 1, wherein the region laminated above the discontinuous interface has a crystal structure, and
the region having the crystal structure is 20 nm or more in thickness and the crystalline dielectric film is 200 nm or less in total thickness.
3. The semiconductor apparatus according to claim 1, wherein a region laminated above the discontinuous interface has a crystal structure, and
at least a part of the region above and a part of a region below the discontinuous interface has a region whose crystal orientation differs.
4. The semiconductor apparatus according to claim 1, wherein at least a part of the discontinuous interface is formed of an amorphous layer.
5. The semiconductor apparatus according to claim 1, wherein at least a part of the discontinuous interface is formed of a metal film or a conductive oxide film.
6. The semiconductor apparatus according to claim 1, wherein a plurality of discontinuous interfaces are formed.
7. The semiconductor apparatus according to claim 1, wherein an amorphous film is formed between the first electrode and the crystalline dielectric film.
8. A method of manufacturing a semiconductor apparatus including forming a crystalline dielectric film having a perovskite structure, between a first electrode and a second electrode, the method comprising:
forming a discontinuous interface, through which crystallinity becomes discontinuous, in a columnar crystal portion of the crystalline dielectric film,
wherein the columnar crystal portion of the crystalline dielectric film includes a region laminated above and a region laminated below the discontinuous interface.
9. The method of manufacturing a semiconductor apparatus according to claim 8, wherein the discontinuous interface is formed by temporarily decreasing a temperature during formation of the crystalline dielectric film, and thereafter resuming the formation.
10. The method of manufacturing a semiconductor apparatus according to claim 8, wherein the discontinuous interface is formed by changing a film forming pressure during formation of the crystalline dielectric film, in forming the crystalline dielectric film by an RF sputtering method.
11. The method of manufacturing a semiconductor apparatus according to claim 8, wherein a region having a crystal structure is formed above the discontinuous interface, and
a region whose crystal orientation differs is formed in at least a part of the region above and a part of a region below the discontinuous interface.
12. The method of manufacturing a semiconductor apparatus according to claim 8, wherein at least a part of the discontinuous interface is formed of an amorphous layer.
13. The method of manufacturing a semiconductor apparatus according to claim 8, wherein at least a part of the discontinuous interface is formed of a metallic conductive film.
14. The method of manufacturing a semiconductor apparatus according to claim 8, wherein a plurality of discontinuous interfaces are formed.
15. The method of manufacturing a semiconductor apparatus according to claim 8, wherein the crystalline dielectric film having the discontinuous interface is formed at 400\xb0 C. or lower, and
an amorphous film is formed between the first electrode and the crystalline dielectric film.