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Dynamic Content Recommendations in Sparse Business Environments

A dynamic, documented technology, applied in the direction of business, data processing input/output process, instrumentation, etc., can solve problems such as inability to work effectively

Active Publication Date: 2021-01-05
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the user traffic is not rich enough and / or when the set of potential items to be recommended is very large, the method for generating recommendations to the user may not work effectively in such a high traffic / small product set scenario
Furthermore, existing methods may not work effectively when the volume of transactions and / or the volume of items varies significantly

Method used

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  • Dynamic Content Recommendations in Sparse Business Environments
  • Dynamic Content Recommendations in Sparse Business Environments
  • Dynamic Content Recommendations in Sparse Business Environments

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] As explained above, methods for generating recommendations to users may not be effective in high traffic / small product set scenarios when user traffic is not rich enough and / or when the set of potential items to be recommended is very large. Work. An example of such an environment is in a corporate environment.

[0020] Typically, a company will employ tens of thousands of employees and generate millions of documents. Also, in a corporate environment, all user activity is not necessarily created equal. For example, the activities of colleagues in the next office may be more relevant to the user's activities than those of a staff member who is stationed in another country. Similarly, the activities of workers in the same team or department of a company may be more relevant than those of workers in other teams. Additionally, user activity can be considered a sparse transaction compared to the number of underlying documents generated and / or stored by a company. Thus, u...

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PUM

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Abstract

A computer system for dynamically visualizing related documents is provided. The computer system includes a processor, which is a functional component of the computer system and is configured to execute instructions. A processor is operatively coupled to a signal store having information indicative of a plurality of documents and relationships. A user interface component is coupled to the processor and configured to receive a user selection of a first document. The dynamic suggestion component is configured to interact with the user interface component to receive an indication of the first document and access the signal store to provide dynamic document suggestions based on relationships between the plurality of documents in the signal store and other users.

Description

Background technique [0001] In many contexts, a computer provides advice to a user. This is helpful because the sheer number of choices a user can have can actually be overwhelming. For example, in an online shopping context, a user may purchase an item, but be unaware that a second item is often used in conjunction with the purchased item. However, a computer system receiving purchase information for a first item may identify the second item as the item most commonly purchased by other users when the first item was purchased. This information is helpful to the user, since he or she may not yet be completely aware of the existence and / or necessity of the second item. [0002] Online shopping systems (such as Amazon) and / or online content systems (such as Netflix) can analyze the activities of millions of users in order to refine or optimize purchase events for relatively small collections of products (ie, movies). However, when the user traffic is not rich enough and / or whe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00G06Q30/02G06F16/2457G06F16/248G06F16/901
CPCG06Q30/0255G06F16/93G06F16/248G06F16/9024G06F16/24578G06F3/04842
Inventor D·梅耶泽Y·施尼特考S·布勒姆
Owner MICROSOFT TECH LICENSING LLC