Apple Inc. (Cupertino, CA)
What is a Patent for What is the significance of the investment identifier for content of the item?
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A lot of media content is delivered to users based on the preferences of the user. In a typical content delivery system, a device for the user is able to collect preferences data through explicit input from the user, where the user specifies what contentthe user wishes to view or consume. The user device can collect information describing the user’s content consumption patterns and draw conclusions about the user’s preferences from the patterns of content consumption in the past. The user device will send this preferenceinformation to a content server. The content server can then examine the content in the media and select the content to be provided to the user (e.g. the device) as per the user’s preference information. Although the standard content delivery system provides personalized content to the user, these kinds of delivery systems require the user’s personal preferences information to be disseminated beyond the user’s device. Therefore, these delivery systems expose users’ personal information, and thus risk violating user privacy.
In certain implementations computers can deliver individualized content, while still preserving the user’s privacy. Content servers, for instance, can be part of the computer system that creates clusters of data and removes duplicates. which are connected to the investment identifier that was received by a client device. The content server will then send the client who requested the content items in clusters. After receiving the clusters content items that the client device is able to examine them according to their preferences for the user and choose an appropriate item from among the content item clusters. The selected content item can be displayed on a display of the device. So, the personalization of selection and presentation can be performed without distributing preferences of the user outside the user device thereby preserving user privacy.
In some instances the computer system may determine the importance an investment identifier’s importance is to a content item that mentions the investment identifier. The content item could provide an account of an event, story, or any other details that are related to the investment identifier. The content item may refer to the investment identifier by referring to the investment identification, proxies for the investment identifier or other equivalents that relate to the investment identifier. The computer system is able to determine the specific locations within the content item in which the investment identifier is or is mentioned, as well as the frequency at which the investment identifier appears. Based on the locations or frequency of mentions, the computing system can determine an importancescore that represents how crucial the investment identifier is to the narrative told in the item. The metadata is saved on the content item to identify which items of content are going to be shown to users.
In certain instances, a computing system can clarify the terms used in a content item based on encyclopedia data that is based on an accepted taxonomy. A well-known news article taxonomy which organizes, classes, or structures media items, as well as media items in accordance with the subject matter covered in the content items, can be used as an example of a common taxonomy. Encyclopedia data (e.g.,) can be obtained which can provide definitions or descriptions of various objects, subjects, terms and other terms. which could be utilized or referenced in the content. The encyclopedia data may be used to decode terms used in content items. The encyclopedia data may not conform to any general taxonomy or constructed in a regionally particular manner, making difficult to decode terms. Thus, the computing system could be able to align the encyclopedia information to the standard taxonomy in order to make the process of disambiguation more efficient.
Certain applications provide at least these benefits. Privacy of the user can be protected by performing content personalization on the user’s device and not sharing personalization information to other computing devices(e.g. content servers). Content evaluation processes (e.g., term spotting, term disambiguation, investment identifier importance scoring, etc.) which require a significant amount of computing resources (e.g. processing cycles and power, memory, network bandwidth, etc.) can be executed using a remote computer (e.g. or a content server) and light, personalized process for selecting content are able to be carried out on the device used by the user. Content clustering allows the user device to select specific content while avoiding the display of duplicate content on a small display. Conforming digital information sources (e.g., the encyclopedias) to a common taxonomy can increase the speed and efficiency of search and disambiguation.
Details of one or more implementations are described in the accompanying drawings, as well as the explanation below. Other features, aspects, and benefits could be evident from the description and drawings, and also from the claims.
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