Semantics-Based Browsing Using Latent Topic Warped Indexes

Mobile web browsing has inherent usability and content discovery problems that warrants alternate browsing paradigms. To provision improved web usability, a server hosted multi-topic content indexing system and a client-based topic cluster solution has been developed that allows the user to browse the web based on content semantics alone. Semantic connections between content are established based on mono-topic and multi-topic indexes built by our service framework. Topic indexing is performed through latent analysis of web content and semantic relations between content is established through distance based relational mining. From user perspective, once an anchor page is loaded in mobile web browser, the user can browse semantically related pages with respect to the anchor page using intuitive vertical and horizontal swipe actions. The pages can be ordered temporally which adds a longitudinal (temporal) dimension to browsing. We present our experimental results based on subjective and objective evaluations via user trials validating semantics-based browsing paradigm.