Context based URL resource prediction and delivery
Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises generating a context-based query through based on a received input; finding a result of the generated query using link prediction algorithm coupled with link prefetching algorithm; and generating a specific link that illustrates and matches the generated context-based query.
1. A computer-implemented method comprising:
generating a context-based query through based on a received input;
finding a result of the generated query using a link prediction algorithm coupled with a link prefetching algorithm; and
generating a specific link that illustrates and matches the generated context-based query,
wherein the result comprises a compilation of plural resources from plural different source materials in one downloadable format as a downloadable file, and
the link prediction algorithm coupled with link prefetching algorithm comprises linear discriminant analysis classification technique in conjunction with a Random Forest classification technique.
2. The computer-implemented method of claim 1 , wherein generating a query through a program comprises ranking each of the one or more link resources using a rank and retrieve algorithm that considers factors selected from a group consisting of:
user preferences via a user profile, popularity of a link, trending topics, browser history of the user, quality of link, and confidential and privacy settings of the link.
3. The computer-implemented method of claim 1 , wherein finding a result of the generated query comprises matching at least 81% of relevant content of the input.
4. The computer-implemented method of claim 1 , wherein generating a specific link that illustrates and matches the generated query comprises generating a link that specifically directs a user to a specific area of displayable content that satisfies the generated query.
5. The computer-implemented method of claim 1 , further comprising:
selecting one or more links meeting or exceeding at least 81% of a relevant content of the input and presenting the selected one or more links as a downloadable display of multiple links that is collated and presented as a footnote.
6. The computer-implemented method of claim 1 , further comprising:
ranking one or more links meeting or exceeding at least 81% of a relevant content of the received input considering multiple user preferences.
7. The computer-implemented method of claim 1 , further comprising:
modifying a selection and rank of one or more links meeting or exceeding at least 81% of a relevant content of the input using an alternative ranking and retrieving algorithm.
8. The computer-implemented method of claim 1 , further comprising:
compiling multiple portions of different resources that satisfy the generated context-based query into a downloadable file.
9. A computer program product comprising:
one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
program instructions to generate a context-based query through based on a received input;
program instructions to find a result of the generated query using a link prediction algorithm coupled with a link prefetching algorithm; and
program instructions to generate a specific link that illustrates and matches the generated context-based query,
wherein the link prediction algorithm coupled with link prefetching algorithm comprises a linear discriminant analysis classification technique in conjunction with a Random Forest classification technique.
10. The computer program product of claim 9 , wherein the program instructions to generate a query through a program comprise program instructions to rank each of the one or more link resources using a rank and retrieve algorithm that considers factors selected from a group consisting of:
user preferences via a user profile, popularity of a link, trending topics, browser history of the user, quality of link, and confidential and privacy settings of the link.
11. The computer program product of claim 9 , wherein the program instructions to find a result of the generated query comprise program instructions to match at least 81% of relevant content of the input.
12. The computer program product of claim 9 , wherein the program instructions to generate a specific link that illustrates and match the generated query comprise program instructions to generate a link that specifically directs a user to a specific area of displayable content that satisfies the generated query.
13. The computer program product of claim 9 , one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions further comprise:
program instructions to select one or more links meeting or exceeding at least 81% of a relevant content of the input and present the selected one or more links as a downloadable display of multiple links that is collated and presented as a footnote.
14. A computer system comprising:
one or more computer processors;
one or more computer readable storage media; and
program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
program instructions to generate a context-based query through based on a received input;
program instructions to find a result of the generated query using a link prediction algorithm coupled with a link prefetching algorithm; and
program instructions to generate a specific link that illustrates and matches the generated context-based query,
wherein the link prediction algorithm coupled with link prefetching algorithm comprises a linear discriminant analysis classification technique in conjunction with a Random Forest classification technique.
15. The computer system of claim 14 , wherein the program instructions to generate a query through a program comprise program instructions to rank each of the one or more link resources using a rank and retrieve algorithm that considers factors selected from a group consisting of:
user preferences via a user profile, popularity of a link, trending topics, browser history of the user, quality of link, and confidential and privacy settings of the link.
16. The computer system of claim 14 , wherein the program instructions to find a result of the generated query comprise program instructions to match at least 81% of relevant content of the input.
17. The computer system of claim 14 , wherein the program instructions to generate a specific link that illustrates and match the generated query comprise program instructions to generate a link that specifically directs a user to a specific area of displayable content that satisfies the generated query.