Advanced Search Management Technology Designed for Mobile

The heart of the MobileSearch.net search management platform is a unique, patent-pending Query Broker and Taxonomy Engine that federates each query directly to any number of relevant content sources, returns results in real-time that are processed according to automated rankings, relevancy factors, and operator rules, and provides the “Top 5” results within each category or across multiple categories.

Coupled with a flexible, scalable Federated Connector framework that connects—once—with search engines and vertical content sources and that requires no ongoing maintenance, MobileSearch.net outperforms traditional indexing and indexed federation approaches.

MCN scientists continue to innovate and expand the capabilities of MobileSearch.net with:

MobileSearch.net Relevance and Ranking Engine

Mobile search is about precision and relevance, so an advanced relevance and ranking engine is central to MCN’s patented query broker and taxonomy management system. Based on a wide range of factors, the engine automatically ranks, groups, sorts, and manages delivery of the most relevant content results for each query.

Ranking weights can be set for each content channel based on values determined by the distribution partner and dozens of automated parameters including:

•    Quality of CP content results (based on user behavior)
•    Relevance of content to the query and/or category (including percentage of no results found)
•    Physical responsiveness (latency, percentage timeout)
•    Price
•    Latest/newest (for news or content results)
•    Proximity (for local results)
•    Language

MCN product managers work with partners to define goals (ARPU, traffic, usage) then plan and optimize search traffic for maximum ROI.


MobileSearch.net Contextual Recommendation Engine

With advanced semantic recommendation technology, MCN provides relevant, contextual recommendations that keep users engaged by presenting results that are immediately relevant and effective while promoting cross-selling and up-selling opportunities.

Compared to traditional approaches that rely on usage data and pattern analysis limited to a specific index of information or content, MCN contextual recommendations increase page views,  click thru rates and conversions, virtually eliminate “no results found” situations, improve customer satisfaction, and generate additional revenue.


MobileSearch.net Adaptive Ranking Engine

MCN scientists are applying the “wisdom of crowds” to automate relevance and deliver the highest quality results in 2-3 clicks. The MCN adaptive ranking engine tracks keyword query patterns at the broadest community levels and adapts the response system to rank result pages accordingly. When popular keywords are repeatedly queried, the most clicked-through categories can appear first. And to provide greater control, the MobileSearch.net system can rank and re-order results at the system level or for each individual user.