Method and means for browsing by walking
Abstract
A mobile station is arranged to determine its location, which is searched against street addresses from a database, and at least one matching street address is retrieved. The street address is searched on the mobile station and/or over the network. The search engine conducts a search in the mobile station file system and/or the Internet and/or a file system over the network with the at least one query term, —at least one search result is arranged to be displayed to user on the screen of the mobile station. This facilitates on-demand effortless Mobile Internet Search that allows the users to access opportunities that they did not know about, or would not have had time to find out about with minimum effort as the software of the mobile phone is scanning the Internet and information pages for these opportunities and displaying the results dynamically on the mobile phone screen.
Claims
exact text as granted — not AI-modified1 . A document searching and ranking method, comprising:
storing, at one or more memories of a search engine system, a search engine process and an index relation for an index; executing, by one or more processors of the search engine system coupled to the one or more memories, the search engine process; receiving, by the one or more processors, queries from at least one mobile station; using, by the one or more processors, the index relation to calculate a numerical weight to an association between one of (i) at least one specific location of the mobile station and a time of an incoming query from the mobile station and at least one document, and (ii) a time of an incoming query from the mobile station and at least one document; storing, by the one or more processors into the one or more memories, a click-through rate for at least one result of a search based on a frequency at which the result of the search is selected; and ranking, by the one or more processors, documents associated with facilities that are open for business at the time of the incoming query higher than documents associated with facilities that are closed at the time of the incoming query, wherein the search engine system causes client software on the mobile station to navigate to a reservation web page, based on the search result.
2 . The document searching and ranking method as claimed in claim 1 , further comprising:
receiving, by the search engine system, from the at least one mobile station, a query term input by a user via the mobile station, the query term being used by the search engine system as at least a portion of the incoming query, and/or storing, into the one or more memories, a location of a mobile station as a function of time and/or the query term received from the at least one mobile station.
3 . The document searching and ranking method as claimed in claim 1 , further comprising:
crawling, by a web crawler of the search engine system, for keywords pertaining to space-time access relevant information, the space-time access relevant information being one or more of location, opening hours at the location, and price information at the location; and/or alerting, by the search engine system to the web crawler, to revisit the webpage frequently for time-sensitive information; and/or crawling, by the web crawler, webpages for opening times and time ranges of businesses to which the webpages relate.
4 . The document searching and ranking method as claimed in claim 1 , wherein contextual parameters of a user of the at least one mobile station are used for any of the following: adding to the incoming query, and ranking search results, the contextual parameters including one or more of income data and schedule data of the user.
5 . The document searching and ranking method as claimed in claim 1 , further comprising:
assigning, by the one or more processors of the search engine system, to each of the documents of the search results a relevance; and when the relevance of each of the respective documents exceeds a threshold value, causing an alert to be signaled at the at least one mobile station.
6 . The document searching and ranking method as claimed in claim 1 , further comprising:
obtaining numerical location data of the specific location of the at least one mobile station via one or more of a Global Positioning System (GPS), base stations, and base station or WIFI identities; converting the numerical location data to natural language location data search terms used to determine the specific location of the at least one mobile station; and/or storing, into the one or more memories, the click-through rate of the search result for the specific location of the at least one mobile station.
7 . The document searching and ranking method as claimed in claim 1 , wherein the time of the incoming query is one or more of the current time, the point in time when the incoming query is input at the at least one mobile station or received at the search engine system, and a time indicated in the incoming query, and/or
the search engine system is connected to the mobile station by the client software on the mobile station, the search engine system receiving at least one query term and a space-time position of the mobile station by the client software, the search engine system using the received at least one query term and the received space-time position and sending the search result to the client software for display on the mobile station.
8 . The document searching and ranking method as claimed in claim 1 , wherein the index contains a vector value that specifies whether a facility matching the search result is open for business or not at the time of the incoming query.
9 . The document searching and ranking method as claimed in claim 1 , further comprising ranking, by the one or more processors, documents based on user data, and/or the user data is one or more of a user inbox, system files, and desktop files.
10 . The document searching and ranking method as claimed in claim 1 , further comprising deriving, by the one or more processors, additional search results based on metadata and contextual user data, the contextual user data being data from one or more of an inbox and desktop files.
11 . The document ranking method as claimed in claim 1 , further comprising updating, by the one or more processors, query parameters of the incoming query as the at least one mobile station moves in space and time passes.
12 . The document searching and ranking method as claimed in claim 1 , further comprising:
generating, by the search engine system, a plurality of machine-generated queries per one user-generated query; and producing an aggregated search result list of all queries.
13 . The document searching and ranking method as claimed in claim 1 , wherein the search engine system facilitates or allows the client software to facilitate filling of online form entry fields, except at least one entry field, which is left blank to receive input from a user to fill in order to authenticate the user.
14 . The document searching and ranking method as claimed in claim 1 , wherein the search result comprises at least one link corresponding to the reservation web page, and
the method further comprises transmitting, by the search engine system, said reservation web page to the client software in response to receiving an indication from the client software corresponding to a selection of said reservation web page.
15 . A document searching and ranking method, comprising:
storing, at one or more memories of a search engine system, a search engine process and an index relation for an index; executing, by one or more processors of the search engine system coupled to the one or more memories, the search engine process; receiving, by the one or more processors, queries from at least one mobile station; using, by the one or more processors, the index relation to calculate a numerical weight to an association between one of (i) at least one specific location of the mobile station and a time of an incoming query from the mobile station and at least one document, and (ii) a time of an incoming query from the mobile station and at least one document; storing, by the one or more processors into the one or more memories, a click-through rate for at least one result of a search based on a frequency at which the result of the search is selected; and ranking, by the one or more processors, documents associated with facilities that are open for business at the time of the incoming query higher than documents associated with facilities that are closed at the time of the incoming query, wherein at least two search queries are processed by the search engine system at the same time in parallel.
16 . The document searching and ranking method as claimed in claim 15 , further comprising:
receiving, by the search engine system, from the at least one mobile station, a query term input by a user via the mobile station, the query term being used by the search engine system as at least a portion of the incoming query; and/or storing, into the one or more memories, a location of a mobile station as a function of time and/or the query term received from the at least one mobile station.
17 . The document searching and ranking method as claimed in claim 15 , further comprising:
crawling, by a web crawler of the search engine system, for keywords pertaining to space-time access relevant information, the space-time access relevant information being one or more of location, opening hours at the location, and price information at the location; and/or alerting, by the search engine system to the web crawler, to revisit the webpage frequently for time-sensitive information; and/or crawling, by the web crawler, webpages for opening times and time ranges of businesses to which the webpages relate.
18 . The document searching and ranking method as claimed in claim 15 , wherein contextual parameters of a user of the at least one mobile station are used for any of the following: adding to the incoming query, and ranking search results, the contextual parameters including one or more of income data and schedule data of the user.
19 . The document searching and ranking method as claimed in claim 15 , further comprising:
assigning, by the one or more processors of the search engine system, to each of the documents of the search results a relevance; and when the relevance of each of the respective documents exceeds a threshold value, causing an alert to be signaled at the at least one mobile station.
20 . The document searching and ranking method as claimed in claim 15 , further comprising:
obtaining numerical location data of the specific location of the at least one mobile station via one or more of a Global Positioning System (GPS), base stations, and base station or WIFI identities; converting the numerical location data to natural language location data search terms used to determine the specific location of the at least one mobile station; and/or storing, into the one or more memories, the click-through rate of the search result for the specific location of the at least one mobile station.
21 . The document searching and ranking method as claimed in claim 15 , wherein the time of the incoming query is one or more of the current time, the point in time when the incoming query is input at the at least one mobile station or received at the search engine system, and a time indicated in the incoming query.
22 . The document searching and ranking method as claimed in claim 15 , wherein the index contains a vector value that specifies whether a facility matching the search result is open for business or not at the time of the incoming query.
23 . The document searching and ranking method as claimed in claim 15 , further comprising ranking, by the one or more processors, documents based on user data, and/or the user data is one or more of a user inbox, system files, and desktop files.
24 . The document searching and ranking method as claimed in claim 15 , further comprising deriving, by the one or more processors, additional search results based on metadata and contextual user data, the contextual user data being data from one or more of an inbox and desktop files.
25 . The document searching and ranking method as claimed in claim 15 , further comprising updating, by the one or more processors, query parameters of the incoming query as the at least one mobile station moves in space and time passes.
26 . The document searching and ranking method as claimed in claim 15 , further comprising:
generating, by the search engine system, a plurality of machine-generated queries per one user-generated query; and producing an aggregated search result list of all queries.
27 . The document searching and ranking method as claimed in claim 15 , wherein the search engine system facilitates or allows client software to facilitate filling of online form entry fields, except at least one entry field, which is left blank to receive input from a user to fill in order to authenticate the user.
28 . The document searching and ranking method as claimed in claim 15 , wherein the search engine system is connected to the mobile station by client software on the mobile station, the search engine system receiving at least one query term and a space-time position of the mobile station by the client software, the search engine system using the received at least one query term and the received space-time position and sending the search result to the client software for display on the mobile station.
29 . The document searching and ranking method as claimed in claim 15 , wherein the search engine system causes client software of the mobile station to navigate to a reservation web page, based on the search result.
30 . The document searching and ranking method as claimed in claim 29 , wherein the search result comprises at least one link corresponding to the reservation web page, and
the method further comprises transmitting, by the search engine system, said reservation web page to the client software in response to receiving an indication from the client software corresponding to a selection of said reservation web page.Join the waitlist — get patent alerts
Track US2018040045A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.