WO2017105190A1 - Systeme de recommandations de services dans une communauté virtuelle - Google Patents

Systeme de recommandations de services dans une communauté virtuelle Download PDF

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Publication number
WO2017105190A1
WO2017105190A1 PCT/MX2015/000197 MX2015000197W WO2017105190A1 WO 2017105190 A1 WO2017105190 A1 WO 2017105190A1 MX 2015000197 W MX2015000197 W MX 2015000197W WO 2017105190 A1 WO2017105190 A1 WO 2017105190A1
Authority
WO
WIPO (PCT)
Prior art keywords
recommendation
user
recommendations
service
community
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/MX2015/000197
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English (en)
Spanish (es)
Inventor
Guillermo ESPINOLA ORCI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/MX2015/000197 priority Critical patent/WO2017105190A1/fr
Publication of WO2017105190A1 publication Critical patent/WO2017105190A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the present invention has its preponderant field of application in the field of social networks, particularly in those activities where it is necessary to obtain a recommendation for a service.
  • Social networks are a form of virtual organization that allows different activities to be carried out. This proposal aims to show the importance of a social network in the recommendation of services.
  • the invention WO 2006075032 A1 integrates a system and method for recommending multimedia elements. It includes means to identify the number of times a user has accessed and played a musical piece or multimedia element in a given period of time, means to order the pieces identified in the form of a profile of preferences or relevance for said user.
  • the method proposes a recommendation made from a plurality of preference profiles and multiple users, comparing the profile of preferences of a user with the other profiles of preferences of other users.
  • the invention US 7970922 B2 presents systems and methods for providing peer-to-peer (P2P) recommendations.
  • the system transmits multimedia presentations to users' devices. Users can send and receive recommendations every time a media presentation is transmitted.
  • P2P network for providing real-time communication recommendations
  • the invention US 7680959 B2 shows a peer-to-peer network (P2P) for providing real-time communication recommendations.
  • Media recommendations can be songs or video. Each time a media presentation is played by a device, a recommendation is provided to other devices in the P2P network. If a peer device receives recommendations from other devices, then a next multimedia presentation is selected programmatically.
  • the invention US 20020178057 A1 presents a system and method for recommendations of articles such as books and audio compact discs.
  • a user profile is determined, which includes ratings provided by system users. Unlike the recommendation systems present, user profiles do not include similarity factors between users. On the contrary, when an adviser asks for a recommendation, similarity measures are calculated by comparing the recommended one to other users, and similarity measures are associated with the other users. A subset of the users is selected, where the subset includes the most similar users to the one recommended. A recommendation is made based on the votes of the members of the selected subset.
  • the invention US 20010021914 A1 presents a service of personalized recommendations of objects represented in a database.
  • the service implemented in a computer recommends items to a user based on items previously selected by the user, such as items purchased previously, viewed, or placed in an electronic shopping cart.
  • the articles can be, for example, products represented within a database of an online merchant.
  • the service generates the recommendations using a previously obtained table, which assigns items to "similar" product lists. The items are recommended based on the current content of a user's shopping cart.
  • the invention US 8874655 B2 shows a system and method for matching the participants in a P2P network of recommendation of a subscription music service.
  • the system includes a central server and peer devices. Each of the peer devices is associated with a user. When a user of a peer device wishes to identify new friends with whom they exchange recommendations, the system identifies them according to their preferences.
  • the invention US 9003056 B2 shows a peer-to-peer network (P2P) to provide real-time communication recommendations.
  • the P2P network includes a central server that connects a series of peer devices.
  • a central server proxy function receives media recommendations from one or more devices from peers that are active and online.
  • the invention US 6615208 B1 presents a method for the automatic recommendation of products that use latent semantic content indexing.
  • a user enters a selected element, in turn a latent semantic algorithm is applied to the selection in a database to generate a conceptual similarity between the selection and the elements and offers a recommendation to the user of other items that may be of special interest or relevance to the user's original selection based on the measure of conceptual similarity.
  • US 20130166654 A1 presents a method in a point-to-point network for enrolling a binding partner in a P2P.
  • a connection request is sent from the junction pair and obtains a recommendation based on a P2P network topology.
  • FIG 1 shows the basic sequence of the process
  • FIG. 1 shows the overall process scheme
  • Figure 3 shows the evaluation sequence of a recommendation
  • Figure 4 shows the elements of the reliability of a recommendation
  • Figure 5 shows the process flow chart
  • Figure 1 shows the basic scheme of this proposal: a user needs food, entertainment or home maintenance services. Depending on the experience for the service provided, the user issues a recommendation, favorable or against.
  • Figure 2 shows the way in which the user issues his recommendation: by means of an application for mobile devices the recommendation of a service is registered in a social network. Community members have the possibility to review the recommendations issued and decide if they request a service.
  • Figure 3 shows the sequence in which a recommendation issued by a user receives an evaluation. This rating represents a measure of the reliability of that opinion and is a criterion to take into account a user's recommendation.
  • Figure 4 shows the elements that make up the reliability of a recommendation: the experience and reputation of the user when recommending services. Depending on the usefulness of the recommendation, members of the social network evaluate the recommendation issued by a user.
  • Figure 5 shows the flow chart of the system: a user requests a service and, depending on their perception of the benefit received, issues a recommendation on a social network where community members evaluate it. Depending on the utility for other members of the social network, the user obtains a reliability rating for his recommendation. If the evaluation of the recommendation is acceptable, then other members of the community could use the recommended service. If the evaluation of the recommendation is not acceptable, the user issuing the recommendation receives a rating that affects their reputation and is therefore considered unreliable.

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  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

La présente invention concerne un nouveau procédé pour la recommandation de services virtuels au sein d'une communauté virtuelle.
PCT/MX2015/000197 2015-12-16 2015-12-16 Systeme de recommandations de services dans une communauté virtuelle Ceased WO2017105190A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/MX2015/000197 WO2017105190A1 (fr) 2015-12-16 2015-12-16 Systeme de recommandations de services dans une communauté virtuelle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/MX2015/000197 WO2017105190A1 (fr) 2015-12-16 2015-12-16 Systeme de recommandations de services dans une communauté virtuelle

Publications (1)

Publication Number Publication Date
WO2017105190A1 true WO2017105190A1 (fr) 2017-06-22

Family

ID=59056985

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/MX2015/000197 Ceased WO2017105190A1 (fr) 2015-12-16 2015-12-16 Systeme de recommandations de services dans une communauté virtuelle

Country Status (1)

Country Link
WO (1) WO2017105190A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080027796A1 (en) * 2006-07-31 2008-01-31 Leonardo Weiss F Chaves Distributed reputation-based recommendation system
US20100257183A1 (en) * 2009-04-01 2010-10-07 Korea Institute Of Science And Technology Assessment of a user reputation and a content reliability
US20120210240A1 (en) * 2011-02-10 2012-08-16 Microsoft Corporation User interfaces for personalized recommendations

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080027796A1 (en) * 2006-07-31 2008-01-31 Leonardo Weiss F Chaves Distributed reputation-based recommendation system
US20100257183A1 (en) * 2009-04-01 2010-10-07 Korea Institute Of Science And Technology Assessment of a user reputation and a content reliability
US20120210240A1 (en) * 2011-02-10 2012-08-16 Microsoft Corporation User interfaces for personalized recommendations

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