Electronic Book Preview System Personalizing Page Selection

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Solution Overview

Problem

Allowing users to preview electronic books may not sufficiently increase purchase motivation, as the content of previewed pages does not always interest the user.

Innovation Solution

An electronic book system that acquires and analyzes user interaction data to selectively provide pages of higher interest to potential buyers, optimizing the preview experience based on purchase history, zoom interactions, and display time to increase motivation to purchase.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users are allowed to preview sample pages of an electronic book, then users can evaluate the book content before purchase, but the preview content may not sufficiently interest the user to motivate purchase

Engineering Contradiction:

Improvepreview accessibilityVSAvoidpurchase conversion rate

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system performs preliminary analysis of user behavior patterns and pre-selects pages that are most likely to interest specific users before they initiate a preview. By anticipating user interests and preparing personalized page selections in advance, the system enhances the effectiveness of the preview without requiring complex real-time processing during the preview session.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system collects feedback data from user interactions with previewed pages (such as time spent on each page, scrolling behavior, and navigation patterns) and uses this feedback to continuously refine and personalize the page selection for subsequent previews. This feedback loop enables the system to adapt to individual user preferences and improve purchase motivation over time.

Inventive Principle:

Principle #23Feedback

2Productivity

If the system provides personalized page selection based on user behavior analysis, then user interest and purchase motivation increase, but system complexity increases

Engineering Contradiction:

Improvepurchase conversion rateVSAvoidsystem architecture

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables users to implicitly define their own preferences through their natural interaction patterns with the preview content. By analyzing behaviors such as which pages users spend more time on, which pages they revisit, and how they navigate through the book, the system automatically constructs user profiles and personalized page selections without requiring explicit user input or complex configuration.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system creates simplified representations or models of user behavior patterns based on observed interactions. These behavioral models serve as copies of complex user decision-making processes, allowing the system to predict user interests and select appropriate pages without replicating the full complexity of human cognitive evaluation.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS10133706B2Electronic book system, electronic book provision method, recording medium, and program

Publication Date: 2018.11.20 RAKUTEN GROUP INC

AI summary

In an electronic book system 1 distributing electronic books to browsing devices 30A, 30B, and 30C via a communication network 50, the acquirer of a distribution server 20 acquires the context of operation by a first user who is provided with first candidate pages contained in an electronic book in a previewable manner. The designator of the distribution server 20 designates second candidate pages based on the context of operation acquired by the acquirer and the first candidate pages. The provider provides the second candidate pages designated by the designator to a second user in a previewable manner.