BR112023006164A2 - Sistema e método para recomendar conteúdo semanticamente relevante - Google Patents
Sistema e método para recomendar conteúdo semanticamente relevanteInfo
- Publication number
- BR112023006164A2 BR112023006164A2 BR112023006164A BR112023006164A BR112023006164A2 BR 112023006164 A2 BR112023006164 A2 BR 112023006164A2 BR 112023006164 A BR112023006164 A BR 112023006164A BR 112023006164 A BR112023006164 A BR 112023006164A BR 112023006164 A2 BR112023006164 A2 BR 112023006164A2
- Authority
- BR
- Brazil
- Prior art keywords
- semantic
- recommend
- file
- property
- pairs
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 4
- 239000013598 vector Substances 0.000 abstract 3
- 238000013528 artificial neural network Methods 0.000 abstract 1
- 230000006855 networking Effects 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06N3/084—Backpropagation, e.g. using gradient descent
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- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G06F16/686—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
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- G—PHYSICS
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- G10H1/00—Details of electrophonic musical instruments
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- H—ELECTRICITY
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- G—PHYSICS
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- G—PHYSICS
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- G—PHYSICS
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- G10H2210/00—Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
- G10H2210/031—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
- G10H2210/036—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal of musical genre, i.e. analysing the style of musical pieces, usually for selection, filtering or classification
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10H2210/00—Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
- G10H2210/031—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
- G10H2210/041—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal based on mfcc [mel -frequency spectral coefficients]
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10H2240/00—Data organisation or data communication aspects, specifically adapted for electrophonic musical tools or instruments
- G10H2240/075—Musical metadata derived from musical analysis or for use in electrophonic musical instruments
- G10H2240/085—Mood, i.e. generation, detection or selection of a particular emotional content or atmosphere in a musical piece
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10H2240/00—Data organisation or data communication aspects, specifically adapted for electrophonic musical tools or instruments
- G10H2240/121—Musical libraries, i.e. musical databases indexed by musical parameters, wavetables, indexing schemes using musical parameters, musical rule bases or knowledge bases, e.g. for automatic composing methods
- G10H2240/131—Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set
- G10H2240/141—Library retrieval matching, i.e. any of the steps of matching an inputted segment or phrase with musical database contents, e.g. query by humming, singing or playing; the steps may include, e.g. musical analysis of the input, musical feature extraction, query formulation, or details of the retrieval process
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- G10H2250/00—Aspects of algorithms or signal processing methods without intrinsic musical character, yet specifically adapted for or used in electrophonic musical processing
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
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- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
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Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Library & Information Science (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
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- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Human Computer Interaction (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
SISTEMA E MÉTODO PARA RECOMENDAR CONTEÚDO SEMANTICAMENTE RELEVANTE. Trata-se de um vetor de propriedade derivado de propriedades mensuráveis extraíveis de um arquivo de dados que é mapeado para propriedades semânticas para tal arquivo de dados. O vetor de propriedade é uma saída de uma rede neural artificial treinada que, após treinamento de pares da ANN com o uso de pares de arquivos que mapeiam similaridade/dissimilaridade de pares em espaço de propriedade para similaridade/dissimilaridade semântica de pares correspondentes no espaço semântico, tanto preserva quanto é representativa de propriedades semânticas do arquivo de dados. O sistema e método apuram, com base em comparações entre vetores de propriedade gerados, classificam e, então, recomendam e/ou filtram arquivos candidatos semanticamente próximos ou semanticamente dispares em um banco de dados a partir de uma consulta de um usuário que inclui o arquivo de dados. Aplicações do sistema e método de categorização e recomendação se aplicam a ferramentas de busca ou mídias e plataformas de redes sociais, incluindo mídias na forma de música, vídeo, dados de imagens e/ou arquivos de texto.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2015695.6A GB2599441B (en) | 2020-10-02 | 2020-10-02 | System and method for recommending semantically relevant content |
PCT/GB2021/052551 WO2022069904A1 (en) | 2020-10-02 | 2021-10-01 | System and method for recommending semantically relevant content |
Publications (1)
Publication Number | Publication Date |
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BR112023006164A2 true BR112023006164A2 (pt) | 2023-05-09 |
Family
ID=73223651
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112023006164A BR112023006164A2 (pt) | 2020-10-02 | 2021-10-01 | Sistema e método para recomendar conteúdo semanticamente relevante |
Country Status (9)
Country | Link |
---|---|
US (3) | US20220108175A1 (pt) |
EP (1) | EP4205035A1 (pt) |
KR (1) | KR20230079186A (pt) |
AU (1) | AU2021351207A1 (pt) |
BR (1) | BR112023006164A2 (pt) |
CA (1) | CA3194565A1 (pt) |
GB (1) | GB2599441B (pt) |
MX (1) | MX2023003827A (pt) |
WO (1) | WO2022069904A1 (pt) |
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GB2599441B (en) | 2020-10-02 | 2024-02-28 | Emotional Perception Ai Ltd | System and method for recommending semantically relevant content |
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CN112966528B (zh) * | 2021-03-01 | 2023-09-19 | 郑州铁路职业技术学院 | 一种英语语音的翻译模糊匹配系统 |
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CN113837844A (zh) * | 2021-10-19 | 2021-12-24 | 北京邮电大学 | 一种多级联下游企业推荐系统、方法及可存储介质 |
US20230229847A1 (en) * | 2022-01-19 | 2023-07-20 | Julia M. Rosedale | Methods for Extending Vector-Based Document Embedding Models and Systems Thereof |
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CN114970955B (zh) * | 2022-04-15 | 2023-12-15 | 黑龙江省网络空间研究中心 | 基于多模态预训练模型的短视频热度预测方法及装置 |
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CN116226435B (zh) * | 2023-05-09 | 2023-07-04 | 武汉理工大学三亚科教创新园 | 基于跨模态检索的遥感图像与ais信息的关联匹配方法 |
CN116720004B (zh) * | 2023-08-09 | 2023-12-15 | 腾讯科技(深圳)有限公司 | 推荐理由生成方法、装置、设备及存储介质 |
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