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1. (WO2017095942) METHODS AND SYSTEMS FOR TARGETED ADVERTISING USING MACHINE LEARNING TECHNIQUES
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/095942 International Application No.: PCT/US2016/064242
Publication Date: 08.06.2017 International Filing Date: 30.11.2016
IPC:
G06Q 30/02 (2012.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30
Commerce, e.g. shopping or e-commerce
02
Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
Applicants:
ROVI GUIDES, INC. [US/US]; 2 Circle Star Way San Carlos, CA 94070, US
Inventors:
XU, Xiaoxi; US
BENNETT, Steve; US
KLAPPERT, Walter, R.; US
Agent:
GUILIANO, Joseph, M.; US
GOTFRIED, Gall, C.; US
GURMAN, Daniel, B.; US
AUBRY, Anne-raphaelle; US
FEUSTEL, Richard, M.; US
Priority Data:
14/958,91603.12.2015US
14/958,91803.12.2015US
Title (EN) METHODS AND SYSTEMS FOR TARGETED ADVERTISING USING MACHINE LEARNING TECHNIQUES
(FR) PROCÉDÉS ET SYSTÈMES DE PUBLICITÉ CIBLÉE À L'AIDE DE TECHNIQUES D'APPRENTISSAGE AUTOMATIQUE
Abstract:
(EN) Methods and systems have been provided for predicting viewership information for advertising events (e.g., during display of a media asset or within a media guidance application). Methods and systems have also been provided for matching advertising requests (e.g., for advertisements in an advertising campaign) to advertising events (e.g., during display of a media asset or within a media guidance application) based on predicted viewership information determined using machine learning techniques. Performance of an artificial neural network (ANN) based approach and a support vector machine (SVM) based approach have been described, along with a hybrid approach that combines information from the ANN and SVM approaches. These techniques described with the ANN and SVM are equally applicable to other machine learning techniques.
(FR) L'invention concerne des procédés et des systèmes destinés à prédire des informations d'audience pour des événements publicitaires (par exemple pendant l'affichage d'une ressource multimédia ou au sein d'une application de guidage multimédia). Les procédés et les systèmes sont également destinés à faire correspondre des demandes de publicité (par exemple pour des publicités dans une campagne publicitaire) à des événements publicitaires (par exemple pendant l'affichage d'une ressource multimédia ou au sein d'une application de guidage multimédia) en se basant sur des informations d'audience prédites déterminées en utilisant des techniques d'apprentissage automatique. Les performances d'une approche basée sur un réseau neuronal artificiel (ANN) et d'une approche basée sur une machine à vecteurs supports (SVM) ont été décrites, conjointement avec une approche hybride qui combine des informations provenant des approches ANN et SVM. Les techniques selon l'invention avec l'ANN et la SVM s'appliquent également à d'autres techniques d'apprentissage automatique.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)