Finance News Paper.

Coffee.

Glasses off.

A pen.

Investor? Analyst? Trader?

Early in the morning? Deep research?

Reading complete?

Pugmarks

Anticipatory Content Discovery

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

The Pugmarks User Experience

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

Cards that delight

Cards that inform

Cards that engage

Cards that help you decide

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)

We have many fans

And strong endorsers

Putting the navigator back in the browser

Pugmarks