Social event activity recommendation mechanism for location-based services
| Autor: | Lien-Fa Lin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Event (computing)
Computer science media_common.quotation_subject Context (language use) Advertising 02 engineering and technology Recommender system Purchasing Feeling 020204 information systems Phenomenon Location-based service 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Mechanism (sociology) media_common |
| Zdroj: | IIAI-AAI |
| DOI: | 10.1109/iiai-aai50415.2020.00015 |
| Popis: | The phenomenon of "impulse purchasing" or "impulse shopping" is an unplanned decision to buy or to shop based on the context (e.g. emotion, feelings, event etc.) at that time. For example, when people have just finished watching a ball game, they are more likely to purchase game-related products in that time than they would in a normal situation. In this paper, we proposed a novel social activity recommendation mechanism for enhancing location- based e-commerce, by incorporating the techniques of social event analysis, context characteristic analysis and activity fitness analysis. The proposed mechanism could identify the most social event for targeted users in a changing environment, and provide the users "the most willing to attend" event activity in a more intellective way. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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