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Luca Roberts
Luca Roberts

Search Results For Persona 5

Persona 5 Royal walks you through how to fuse Personas as you unlock new options in the Velvet Room. Still, for new players, the process is mystifying. In short, you can sacrifice two or more of your Personas to fuse them into a (hopefully stronger) result. In most cases, the resulting Persona is only slightly stronger. For example, if you fuse Silky, a level 6 persona, with Arsene, a level 1 persona, the result is a level 7 Succubus. You can exploit the fusion system to unlock powerful Personas early, though. Using Silky again, you can fuse it with a level 2 Pixie to unlock the level 26 Clotho.

Search results for persona 5

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Red-tailed hawks live in North and Central America and often find their home in many environments such as plains, farmlands, open woodlands and deserts. They help farmers by picking off rodents and moles that disturb their crops by swooping down and grabbing them, exposing their bright yellow feet. You may have even seen a red-tailed hawk perched on an electricity post proudly puffing out its white and brown spotted chest as you drove by. Perhaps you have seen its iconic red tail as it relaxes on a branch in your neighborhood. Even if you are not actively searching for this bird, you cannot escape its famous call.

The SEO user interface in Optimizely Configured Commerce, located within the Admin Console > Websites > click Edit for the desired website > click the SEO finger tab), allows end users to manage the indexing of site pages, dictating which pages will be shown to the search engine and which ones will remain hidden. This flexible user interface allows site administrators to effectively manage and implement their business's marketing strategy.

Within the SEO Settings page, users can select or deselect which pages will be displayed to search crawlers or delivered to the search engine via a sitemap. The SEO Settings page also provides the option to hide all products from a search crawler by clicking the Hide all products from search engines toggle.

Website pages can also be added or removed from the sitemap from within Configured Commerce's built in Content Management System (CMS). Accessing the desired page's in-context editing field allows administrators to hide the page from search engines.

PPC stands for pay-per-click, and it represents a tried and true advertisement and digital marketing method that has served larger businesses well for decades. However, small businesses can, and should, take advantage of a model for paid search management model and PPC methodologies for several reasons.

PPC advertising does a lot more than it appears to on the surface. For a small business, PPC paid search engine marketing can do a lot to help a company grow. Here are just a few of the advantages that make PPC ideal for small businesses.

For these reasons, paid search management and digital marketing agencies like Touchline Marketing exist. With digital marketing professionals practically working as your very own marketing and advertising team, you can start to edge out the competition and grow your business quickly.

To manage device configuration using configuration containers in Aruba Central, you can create a group and assign devices. During the group creation, you can assign a device persona and select an architecture for the group.

You can edit a group to add a new device type to the group. The group architecture and persona cannot be changed through group edit. You can mark the settings of an edited group as preferred settings for subsequent group creations.

The "Into the Book" web site is designed to help elementary students practice eight reading comprehension strategies through playful interactive activities. The site focuses on eight research-based strategies: Using Prior Knowledge, Making Connections, Questioning, Visualizing, Inferring, Summarizing, Evaluating and Synthesizing. "Behind the Lesson," the teacher area of the site, provides information, lesson plans and other resources for teachers.

disclose a semantic identity concealing a user's primary identity for purposes of gathering information that interests the user and/or for purposes of identifying relationships to other related semantic identities. The differences between a user persona, a user identity and the claimed semantic identity had not been fully appreciated by the examining division.

While D1 disclosed the concept of providing a core persona and sub-personas, D1 did not provide this as part of a semantic identity service according to claim 1. The method as defined in claim 1 provided an additional layer of abstraction between the agent and the search visible on the Internet.

- In a first stage, the semantic identity system (300) allows a user to generate a semantic identity comprising one or more categories (i.e. topics or subjects) which form a semantic space (i.e. search criteria). Components of the semantic identity are assembled in a data structure (400, Figure 4) comprising an identifier (401) of the data structure (not of the user).

- In a second stage, the semantic identity system automatically augments, or refines, the categories of the semantic identity with a number of interests (A2, paragraph 0032) in response to mining a network within the semantic space of the semantic identity. The automatic refinement isolates the semantic identity (and associated search) even more from the true identity of the user.

computer network using user personas) is based on the real identity (core persona) of the user as established by a pre-collection agent (118) (D1, column 3, lines 25 to 34). When a user profile has been collected, features of the profile propagate to sub-personas (D1, Figure 3) and, thus, are revealed by an ensuing search carried out on behalf of a sub-persona. While D1 mentions privacy attributes (column 3, lines 48 to 51), the claimed method enhances user control (stage 1) and privacy (stage 2). The technical problem is to preserve the user from the Internet while still allowing the user to create a preliminary semantic space of categories.

The different approach of D1 is said to be underpinned by the fact that a personal policy is applied to the search results upon receipt in the user's browser (D1, column 4, lines 46 to 59; Figure 4), whereas the claimed method applies a persona's search criteria "on the fly" so as to return search results that have already been filtered.

3. D1 is entitled "Method and system for performing tasks on a computer network using user personas". In the context of network tasks to be performed automatically (by agent software) on behalf of a user, personas (core persona; sub-personas) may be created based on attributes (i.e. categories) such as age, language, address, marital status and the like of the user (D1, column 1, lines 51 to 53).

4. In a first stage of setting up a user persona according to D1, the user may contribute data ("the user may be queried for information"; column 1, lines 49 to 60). In other words, the user may define a semantic space by assigning categories such as age, language, address, marital status and the like.

It is true that D1 may prefer an automatic aspect of the first stage: "a pre-collection agent 118 may be employed to search the computer network 102 to obtain information on the user which may then be stored in the core persona 104 or any of the sub-personas 108, 110, 112, 114 or 116" (D1, column 3, lines 25 to 34).

5. In a second stage of the method according to D1, the information in the core persona (104) and the sub-personas (108, 110, 112, 114, 116) may be modified and refined automatically by a learning agent (124) which tracks the user's use of the computer network (102) and may periodically add, change, delete or update the information based on the user's actual use, or responses to various tasks (D1, column 3, lines 53 to 65). Thus, in the terminology of present claim 1, the categories of the semantic identity are automatically augmented with user interests in response to mining the network.

6. The mining step of claim 1 which searches the network for information that relates to the categories or interests defined and refined in the semantic identity is anticipated by "intelligent personal agent software to perform personalised and targeted tasks" in D1 (column 2, lines 55 to 59, for example).

In both claim 1 and D1, the primary identity underlying an agent is concealed as long as the search space assigned to a semantic identity (or persona) differs from the search space assigned to the primary identity. If the primary identity's search space is not used on the network, the primary identity's categories and interests cannot be traced by the search engine.

However, it is an implicit requirement for a persona of D1 to identify itself (by a number or name) when accessing a network service via a task execution agent or search mechanism (105). Where the (sub-)persona is required to mask the user identity (D1, column 3, lines 48 to 51), its identifier must not reveal the user.

It is also implicit to a (sub-)persona of D1 that the associated attributes (i.e. categories) and refinements (i.e. interests) are stored in a corresponding number of table cells or memory locations; that set of cells or locations effectively makes up a data structure as recited by present claim 1. Calling said data items "metadata" does not add any limitation.

9. Neither claim 1 nor the application as a whole explains where the semantic identity is used to filter search results. The application uses neither the term "filter" nor the expression "on the fly" put forward by the appeal. The application as filed frequently uses the clause "mining the network within the semantic space" (see A2, paragraphs 0016, 0030, 0035, 0042, 0047, 0055; original claim 24). However, that expression does not specify (or rule out) any place for filtering search results. 041b061a72


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