Method and system for providing alternative result for an online search previously with no result
A computing device hosting a website of a business may be operable to receive a first search input comprising a term submitted via a search bar on the website. Upon performing an internal search for the term with no result, the computing device may output information on the no-result. The computing device may then perform, using one or more external search engines, a search for the term. Search results of the search, performed using the external search engine(s), may be analyzed. Based on a result of the analysis, one or more particular character strings related to the term may be identified. The computing device may generate and store, based on the identifying of the particular character string(s), one or more alternative search suggestions. Upon subsequently receiving an input comprising at least a portion of the term entered in the search bar, the computing device may output the alternative search suggestion(s).
1. A method, wherein the method comprises:
in a computing device hosting a website of a business:
upon performing a search, internal to the business, for a term with no result, modifying the term with no result in accordance with a model number or a part number,
entering the modified term into one or more search engines external to the business,
receiving a search result from the one or more search engines, and
associating one or more particular character strings with the term according to the search result, wherein the one or more particular character strings correspond to an item carried by the business.
2. The method according to claim 1 , wherein the method comprises outputting one or more alternative search suggestions.
3. The method according to claim 1 , wherein the term comprises a string of alphanumeric characters.
4. The method according to claim 3 , wherein the method comprises determining that the term is a valid term for search if the string of alphanumeric characters comprises at least one digit.
5. The method according to claim 4 , wherein the method comprises normalizing the determined valid term in compliance with a model number or a part number for searching for a model or a part of a product.
6. The method according to claim 1 , wherein the method comprises utilizing natural language processing (NLP).
7. The method according to claim 1 , wherein the method comprises:
assigning a score to each of a plurality of character strings identified while analyzing search results; and
identifying the one or more particular character strings based on the assigned scores.
8. The method according to claim 1 , wherein the
method comprises: generating one or more alternative search suggestions, and
selecting each of the one or more alternative search suggestions based on whether a characteristic of each of the one or more alternative search suggestions matches a predetermined characteristic condition.
9. The method according to claim 8 , wherein the predetermined characteristic condition comprises: the number of the particular character strings in each of the one or more alternative search suggestions being greater than a certain threshold; and each of the one or more alternative search suggestions comprising a brand name.
10. The method according to claim 1 , comprising storing the one or more alternative search suggestions in a form of autofill index.
11. A system, comprising:
one or more processors operable to host a business search engine, wherein the one or more processors are configured to:
after performing a search, internal to the business, for a term with no result, modify the term with no result in accordance with a model number or a part number,
enter the modified term into one or more search engines external to the business,
receive a search result from the one or more search engines, and
associate one or more particular character strings with the term according to the search result, wherein the one or more particular character strings correspond to an item carried by the business.
12. The system according to claim 11 , wherein the one or more processors are configured to output one or more alternative search suggestions.
13. The system according to claim 11 , wherein the term comprises a string of alphanumeric characters.
14. The system according to claim 13 , wherein the one or more processors are configured to determine that the term is a valid term for search if the string of alphanumeric characters comprises at least one digit.
15. The system according to claim 14 , wherein the one or more processors are configured to normalize the determined valid term in compliance with a model number or a part number for searching for a model or a part of a product.
16. The system according to claim 11 , wherein the one or more processors are operable to utilize natural language processing (NLP).
17. The system according to claim 11 , wherein the one or more processors are configured to:
assign a score to each of a plurality of character strings identified while analyzing search results; and
identify the one or more particular character strings based on the assigned scores.
18. The system according to claim 11 , wherein the one or
more processors are configured to:
generate one or more alternative search suggestions, and
select each of the one or more alternative search suggestions based on whether a characteristic of each of the one or more alternative search suggestions matches a predetermined characteristic condition.
19. The system according to claim 18 , wherein the predetermined characteristic condition comprises:
the number of the particular character strings in each of the one or more alternative search suggestions being greater than a certain threshold; and
each of the one or more alternative search suggestions comprising a brand name.
20. The system according to claim 11 , wherein the one or more processors are operable to store one or more alternative search suggestions in a form of autofill index.