Date post: | 13-Aug-2015 |
Category: |
Technology |
Upload: | bharath-kumar-mohan |
View: | 372 times |
Download: | 2 times |
Finance News Paper.
Coffee.
Glasses off.
A pen.
Investor? Analyst? Trader?
Early in the morning? Deep research?
Reading complete?
Beyond search
Systems will predict what you need and want - before you ask.
Google Now Refresh Aviate Call App Donna
Context engines use prior knowledge and current signals to trigger recommendations.
How do people use their mobile devices? Time/Day
Browsing
Social networks
Games
Music
Calls
Emails
Texting
Video
Books
Photographs
http://research.google.com/pubs/pub38135.html
http://news.o2.co.uk/?press-release=making-calls-has-become-fifth-most-frequent-use-for-a-smartphone-for-newly-networked-generation-of-users
Why are context engines only covering only edge activities?
Most contexts are unstructured
• Reading – On the browser, or on mobile.
• Shopping – Exploring products on the browser, or on apps.
• Communicating – On email, voice
• Watching – Youtube
Huge opportunity to serve information that’s useful
Most context engines deal with structured data
Product Knowledge Trigger Recommendation
Google Now Location (Home, Work) Evening + Far from Home Directions to home
Time (Morning, Evening, Meal times, etc)
Meal times + Far from Home or Work
Restaurants
Refresh Social accounts, Calendar Meeting time Dossier about person from social media
Aviate Location (Outdoor, Gym, Restaurant, Home)
Apps relevant to location
Time (Morning, Evening) Apps relevant to time of day
Call App Social accounts, Global repository of contacts
Phone ringing Social profile of person, recent conversations with person
Donna Calendar + Location of meetings + Traffic information
Close to meeting + Not close to location
Alert the user that he needs to leave, or send message about delays.
Structured Data
Enter Pugmarks
• We understand unstructured context.
• We infer ‘What’s going through your mind?’ – By analysing
• Browsing history
• Searches
• Emails
– In real time
• We recommend ‘What should you know – right now?’
How does Pugmarks work? Product Knowledge Trigger Recommendation
Pugmarks Social accounts of users Recently read unfamiliar topic
Long shelf life content on topic
Long term browsing history (long term interests, familiarities)
Recently read familiar topic
Updates on topic only
Short term browsing (short term spikes)
Meeting a person News about him, company or industry
Global trends – from social crawls (Twitter, LinkedIn)
Shopping for a product Reviews from the web
Topic models built from 10M large ontology, Entities, Phrases, etc.
Experts on social media
Smart Browser A Smart Browser, For Smarter Reading
Pugmarks learns, and recommends the right content, in the right context
A mobile browser that reacts!
Further reading, on every page
A Smart Tab, with Reading Cards that fuel your mind
Delivered at a place convenient to you
Ron Conway
Android Home Screen Smart Browser New Tab
*In real time (about 10 seconds from browsing event)