Methods, computer program products, and systems are presented. The methods include, for instance: determining a category of a domain having content documents and gathering search terms frequently used in similar domains associated with the category. A ground truth table has domain search results as discovered from searches by use of the search terms from the similar domains. Ground truths are utilized in later searches for optimal search results.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for building a ground truth table, comprising: determining, by one or more processor of a computer, a category of a domain having content documents; selecting one or more similar domains associated with the category of the domain; identifying one or more search terms frequently used in the similar domains; performing a first domain search in the domain by use of a search query analogous to a first search term of the one or more search terms from the identifying; creating a first ground truth in the ground truth table, wherein the first ground truth including:, the search query, one or more answer to the search query, and one or more relevance score respectively corresponding to each of the one or more answer, wherein the search query is analogous to the first search term as represented in the content documents of the domain, wherein the one or more answer is discovered from the content documents of the domain as being relevant to the search query, wherein a relevance score corresponding to an answer of the one or more answer indicates how relevant the answer is to the search query, wherein the relevance score is selected from a predefined number of levels, and wherein the relevance score dictates a manner of presenting the answer within the first ground truth of the ground table; and producing the ground truth table for later searches of the domain such that the later searches may yield relevant answers as being presented in the ground truth table. 2. The computer implemented method of claim 1, the determining comprising: harvesting words of the content documents of the domain; and ascertaining the category of the domain responsive to analyzing the words from the harvesting by use of a natural language analysis tool. 3. The computer implemented method of claim 2, wherein the category is an industry class, wherein the domain operates an e-commerce application, and wherein the content documents of the domain stores data on merchandise for sales on the domain. 4. The computer implemented method of claim 1, the identifying comprising: obtaining a search history comprising the one or more search terms from one of the similar domains by use of a search engine; and extracting the one or more search terms from the search history. 5. The computer implemented method of claim 1, wherein the relevance score is selected from the group consisting three (3) or more levels of relevance of each of the one or more answer to the search inquiry. 6. The computer implemented method of claim 1, further comprising: presenting the first ground truth in the ground truth table in a descending order of respective relevance scores of the one or more answer, from one or more most relevant answer corresponding to the highest relevance score. 7. The computer implemented method of claim 1, further comprising: presenting the first ground truth in the ground truth table, responsive to discarding, from the one or more answer to the search query, one or more least relevant answer corresponding to the lowest relevance score. 8. A computer program product comprising: a computer readable storage medium readable by one or more processor and storing instructions for execution by the one or more processor for performing a method for building a ground truth table, comprising: determining a category of a domain having content documents; selecting one or more similar domains associated with the category of the domain; identifying one or more search terms frequently used in the similar domains; performing a first domain search in the domain by use of a search query analogous to a first search term of the one or more search terms from the identifying; creating a first ground truth in the ground truth table, wherein the first ground truth including:, the search query, one or more answer to the search query, and one or more relevance score respectively corresponding to each of the one or more answer, wherein the search query is analogous to the first search term as represented in the content documents of the domain, wherein the one or more answer is discovered from the content documents of the domain as being relevant to the search query, wherein a relevance score corresponding to an answer of the one or more answer indicates how relevant the answer is to the search query, wherein the relevance score is selected from a predefined number of levels, and wherein the relevance score dictates a manner of presenting the answer within the first ground truth of the ground table; and producing the ground truth table for later searches of the domain such that the later searches may yield relevant answers as being presented in the ground truth table. 9. The computer program product of claim 8, the determining comprising: harvesting words of the content documents of the domain; and ascertaining the category of the domain responsive to analyzing the words from the harvesting by use of a natural language analysis tool. 10. The computer program product of claim 9, wherein the category is an industry class, wherein the domain operates an e-commerce application, and wherein the content documents of the domain stores data on merchandise for sales on the domain. 11. The computer program product of claim 8, the identifying comprising: obtaining a search history comprising the one or more search terms from one of the similar domains by use of a search engine; and extracting the one or more search terms from the search history. 12. The computer program product of claim 8, wherein the relevance score is selected from the group consisting three (3) or more levels of relevance of each of the one or more answer to the search inquiry. 13. The computer program product of claim 8, further comprising: presenting the first ground truth in the ground truth table in a descending order of respective relevance scores of the one or more answer, from one or more most relevant answer corresponding to the highest relevance score. 14. The computer program product of claim 8, further comprising: presenting the first ground truth in the ground truth table, responsive to discarding, from the one or more answer to the search query, one or more least relevant answer corresponding to the lowest relevance score. 15. A system comprising: a memory; one or more processor in communication with memory; and program instructions executable by the one or more processor via the memory to perform a method for building a ground truth table, comprising: determining a category of a domain having content documents; selecting one or more similar domains associated with the category of the domain; identifying one or more search terms frequently used in the similar domains; performing a first domain search in the domain by use of a search query analogous to a first search term of the one or more search terms from the identifying; creating a first ground truth in the ground truth table, wherein the first ground truth including:, the search query, one or more answer to the search query, and one or more relevance score respectively corresponding to each of the one or more answer, wherein the search query is analogous to the first search term as represented in the content documents of the domain, wherein the one or more answer is discovered from the content documents of the domain as being relevant to the search query, wherein a relevance score corresponding to an answer of the one or more answer indicates how relevant the answer is to the search query, wherein the relevance score is selected from a predefined number of levels, and wherein the relevance score dictates a manner of presenting the answer within the first ground truth of the ground table; and producing the ground truth table for later searches of the domain such that the later searches may yield relevant answers as being presented in the ground truth table. 16. The system of claim 15, the determining comprising: harvesting words of the content documents of the domain; and ascertaining the category of the domain responsive to analyzing the words from the harvesting by use of a natural language analysis tool, wherein the category is an industry class, wherein the domain operates an e-commerce application, and wherein the content documents of the domain stores data on merchandise for sales on the domain. 17. The system of claim 15, the identifying comprising: obtaining a search history comprising the one or more search terms from one of the similar domains by use of a search engine; and extracting the one or more search terms from the search history. 18. The system of claim 15, wherein the relevance score is selected from the group consisting three (3) or more levels of relevance of each of the one or more answer to the search inquiry. 19. The system of claim 15, further comprising: presenting the first ground truth in the ground truth table in a descending order of respective relevance scores of the one or more answer, from one or more most relevant answer corresponding to the highest relevance score. 20. The system of claim 15, further comprising: presenting the first ground truth in the ground truth table, responsive to discarding, from the one or more answer to the search query, one or more least relevant answer corresponding to the lowest relevance score.