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System and method to enable reading of books and collaborative document formats based on a social lens over networked behavioral patterns

IP.com Disclosure Number: IPCOM000236008D
Publication Date: 2014-Apr-02
Document File: 3 page(s) / 46K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system to collect information about written works in electronic format by tracking the readers’ patterns, analyze those patterns, and then provide personalized suggestions to readers as to which content is of the greatest interest based on comparisons to the reading patterns of users with similar interests.

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This is the abbreviated version, containing approximately 50% of the total text.

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System and method to enable reading of books and collaborative document formats based on a social lens over networked behavioral patterns

Reading efficiency is a classic problem people have attempted to improve for decades. Individuals can take speed-reading courses. This only goes so far and is limited by the capabilities of the individual. Others purchase published notes to summarize key points. This relies on economies of scale to warrant the publication of a set of note and relies on a small sample (one author) determining key topics in a book. Often reading is far more nuanced and interests vary by specialty, topical focuses, reading level, etc.

Existing solutions in the market are ineffective at providing a means to streamline a user's reading to meet specific objectives in many scenarios such as:

• Private or confidential documents only available within a given enterprise • Niche topics • Informally authored content such as wikis, blogs, etc.

• Common books or articles, but read from a specific view point (e.g., a historian analyzing documents for gender bias)

In recent years, this reading has drastically transitioned to online sources; this pattern is expected to evolve as e-readers and tablets become more available to end users.

The novel contribution is a method and system to collect information about written

works in electronic format by tracking the readers' patterns, analyze those patterns, and then provide personalized suggestions to readers as to which content is of the greatest interest based on comparisons to the reading patterns of users with similar interests.

Tracking reading patterns in books, either at a page or a paragraph level, is possible

with minimal input from the end users. For example, in one embodiment, the user scans a finger down a page, allowing for more granular tracking of sections or paragraphs of interest. Those paragraphs where the user's finger pauses indicate an area of greater interest vs. others sections.

By tracking individual reading patterns with degrees of granularity, the invention uploads this information to the server, which enables analysis. The analysis is compared against a number of data points:


• A person's network (direct or extended) and reading patterns within this book and related books


• Users identified based on previous reading patterns (showing affinity to a similar genre, topic, section of book, paragraphs across books, etc.)

• Other users reading this book • Users in shared communities of interest
• A team or workgroup

Some users match multiple criteria and have a greater influence on the weighting of a paragraph's relevance to the reader vs. users only matching one of these criteria.

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Given this data input, the system derives the topical importance of each paragraph on a page. This output is made available on the device and, while the user is

reading the book, the device displays the declared importance with markings. One embodiment s...