Technology Overview
RelevantAds innovative developments embrace the technologies of search, ranking optimization, geo-regional targeting, content dissection and message reconstruction. Our engineering team compounds years of experience in the sciences and technology industries. Our patent-pending technologies are novel approaches to both the search and sponsored listing advertisement industries. Collectively these core competencies allow RelevantAds to approach several applications in the online advertising industry and Internet community.
For a brief summary of our technology components, please see the below sections.
Content Scavenger
Data is everywhere. We must all be selective in what we read and save. This is even more true for internet content. Web pages and emails are especially full of information; much of it is for navigation or hypertext markup. However even beyond the formatting and style elements are the growing number of dashboard-like frames.
RelevantAds goes beyond simple document analysis and identifies the important and focus content. By distilling the document, we purify the data which enters the context search engine and yield relevant results.
Contextual Matching
Searching is easy these days; but RelevantAds’ novel product offering requires contextual matching. What's the difference?
Traditional search engines take a few keyword terms and find where those terms exactly exist in a data source. There is rarely room for intelligent ranking.
RelevantAds' contextual match is much different; our premise is not to take a few keywords, but any amount of text; in fact we thrive on large document. We then match the results to a source of documents, listings, or other data. Results from the contextual match engine are ranked upon the degree of similarity.
Weight-Equalized-Bid (W-E-B) Targeting
Figuring out a relative order to rank relevant listings can be difficult. It is for this reason that RelevantAds developed algorithms of mathematical recipes and statistical operations for the job. Given factors of relevancy match, listing bid value and the feedback of usage popularity the algorithms optimize the rank in which results are ultimately presented.
An effect of this technology is to cast a wide net of listing distribution and feedback sampling. Thereby the W.E.B. parameters adjust in time and allow the engine to learn and optimize results ideal for the matched document.
Geo-regional Focus
RelevantAds has established a database combining public and private records to identify geographic source of the end user. In real time, queries to RelevantAds’ contextual match engine are concurrently reverse-searched for regional presence and location.
This data is fed into the overall search engine to allow for higher fidelity in relevancy matching. For example, listings which have specific restrictions to regional areas can be accommodated.
Embedding Listings
Messages are delicate. The formatting elements and relative positioning are often important to the message flow. When embedded into emails or documents, RelevantAds’ listings are intended to preserve the overall layout, while still yield as much information as possible.
Our technology accommodates numerous standards in formatting. Parsing and reconstruction of messages are successfully handled so that integration into existing platforms is greatly simplified.
|