[This could be fulfilled easily by regular expressions inbuilt in browser but unfortunately the browsers I use do not have regex]
There are times when we wish to search for multiple words at one go & thus we end up searching multiple times in a webpage, if we are looking for all occurrences of specific but different words. Had there been a provision of grouping all those desired words or considering them as one, it would have saved much time by showing occurrences of all those words at one go.
E.g. - I ended up getting a webpage (In an effort to search for dealers of an item) - To look for the most nearest dealers I had to search the page repeatedly for nearby area each time.
If multiple search was possible in a webpage: - I would have mapped (grouped) all the nearby areas to a single word. - And then searched for that grouped-word - And possibly that group could be sent to the cloud storage so that it could be used in my other apps/devices
- Ease of use - Time Saving - Possible use under the Cloud - User Custom search built over time
Search in general works by searching the single word or phrase in the whole document. With this idea we are in essence: - Mapping multiple words to a single-grouped-word - When single-grouped-word is searched then all those words mapped to it are searched It is a corollary to a SQL query where multiple words are searched with the OR clause. for e.g. I wish to search for occurences of similar places like: Noida, Delhi, Gurgaon, Faridabad in a single search. I create a grouping of those words 'NCR'. So, NCR = Noida OR Delhi OR Gurgaon OR Faridabad or NCR = Noida || Delhi || Gurgaon || Faridabad And when NCR is searched it highlights the words: Noida, Delhi, Gurgaon, Faridabad where ever they occur in the document. This custom (group) search could be stored as a browser preference or a personal cloud setting that could be used in other apps/devices as well.
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