Park et al., 2024 - Google Patents
GNN-IR: Examining graph neural networks for influencer recommendations in social media marketingPark et al., 2024
- Document ID
- 13212279562295004832
- Author
- Park J
- Ahn H
- Kim D
- Park E
- Publication year
- Publication venue
- Journal of Retailing and Consumer Services
External Links
Snippet
With the notable growth of the Internet, a number of platforms have emerged and attracted an enormous number of users. Based on the impact of these platforms, some 'influencers' are highlighted. These influencers wield significant power, shaping consumer behavior. This …
- 238000013528 artificial neural network 0 title abstract description 16
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0241—Advertisement
- G06Q30/0251—Targeted advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/101—Collaborative creation of products or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yuan et al. | Expert finding in community question answering: a review | |
Tao et al. | HoAFM: a high-order attentive factorization machine for CTR prediction | |
Vidanagama et al. | Deceptive consumer review detection: a survey | |
Alahmadi et al. | ISTS: Implicit social trust and sentiment based approach to recommender systems | |
Necula et al. | AI-Driven Recommendations: A Systematic review of the state of the art in E-Commerce | |
Dong et al. | A survey for trust-aware recommender systems: A deep learning perspective | |
Yu et al. | TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content | |
Belhadi et al. | A data-driven approach for Twitter hashtag recommendation | |
Vaid et al. | Artificial intelligence and empirical consumer research: A topic modeling analysis | |
Wang et al. | Jointly modeling intra-and inter-session dependencies with graph neural networks for session-based recommendations | |
Park et al. | GNN-IR: Examining graph neural networks for influencer recommendations in social media marketing | |
Li et al. | Deep Learning-Based Recommendation System: Systematic Review and Classification | |
He et al. | Online spam review detection: A survey of literature | |
Thomas et al. | A novel framework for an intelligent deep learning based product recommendation system using sentiment analysis (SA) | |
Bartal et al. | Role-aware information spread in online social networks | |
Zhao et al. | Collaborative filtering via factorized neural networks | |
Yilmaz et al. | A link prediction-based recommendation system using transactional data | |
Mahalakshmi et al. | Twitter sentiment analysis using conditional generative adversarial network | |
Abu-Salih et al. | DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement | |
Cheng et al. | Detecting fake reviewers from the social context with a graph neural network method | |
Goel et al. | Folksonomy-based user profile enrichment using clustering and community recommended tags in multiple levels | |
Hemmati et al. | A taxonomy and survey of big data in social media | |
Zaki et al. | Node embedding approach for accurate detection of fake reviews: a graph-based machine learning approach with explainable AI | |
Lai et al. | Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining | |
Wu et al. | Enhanced review-based rating prediction by exploiting aside information and user influence |