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Anticipatory delivery of search results via notifications

A notification sending and notification technology, applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve the problems of not being able to guarantee the expected information, time-consuming, search annoyance, etc.

Inactive Publication Date: 2016-02-24
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution is time consuming and does not guarantee the desired information, and also makes searching an annoying experience

Method used

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  • Anticipatory delivery of search results via notifications
  • Anticipatory delivery of search results via notifications
  • Anticipatory delivery of search results via notifications

Examples

Experimental program
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Embodiment Construction

[0015] The disclosed architecture performs automatic modeling of a user's preferences for entities (Personal Entity Preference Model) based on user actions (such as search history and temporal search behavior) to determine what is relevant to a given user on the web at any given time. content and is of interest to a given user. Explicit and implicit user responses (e.g., click on notification, ignore, remove, unsubscribe, notification pause time) are used to update the model of user entity preferences. A user entity preference model is used to rank notifications based on predicted relevance. Additionally, the user PERS preference model and the user's implicit responses are used to decide the timing and frequency of notifications.

[0016] Since users issue millions of search queries on search engines every day, the Personal Entity Preference Model improves the search results for a given user by filtering out unwanted (irrelevant) entities and results and only providing result...

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Abstract

Architecture that performs the automatic modeling of user preferences for entities (a personal entity preference model) based on user's actions such as search history and temporal search behavior to determine content on the web relevant and of interest to a given user at any given time. Explicit and implicit user responses (e.g., notification clicks, ignore, dismiss, unsubscribe, notification dwell) are used to update the model of user entity preferences. The user entity preference model is used to order notifications based on predicted relevance. Additionally, the user personal entity preference model and implicit responses of user are used to decide timing and frequency of notifications.

Description

Background technique [0001] Users issue millions of search queries on search engines every day. If a user wants to follow information about a given entity, in existing implementations, the user is often forced to navigate to various websites in the hope of obtaining the desired entity information. However, this approach is time consuming and does not guarantee the desired information, and also makes searching an annoying experience. Contents of the invention [0002] The following presents a simplified summary in order to provide a basic understanding of some of the novel embodiments described herein. This summary is not an extensive overview, and it does not intend to identify key / critical elements or to delineate the scope thereof. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later. [0003] The disclosed architecture enables a user to explicitly or implicitly select entities of interes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9038G06F16/9535G06F16/2477G06F16/9536
Inventor R.马朱姆达K.特罗平T.克斯金帕拉K.S.雷希
Owner MICROSOFT TECH LICENSING LLC
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