Silvia Schiaffino
Biographic Data
| ID | 6628394 |
|---|---|
| NAME | Silvia Schiaffino |
| GIVEN NAMES | Silvia |
| FAMILY NAME | Schiaffino |
| SIGNATURE | SCHIAFFINO S |
| AFFILIATIONS | Consejo Nacional de Investigaciones Científicas y Técnicas |
| ORCID | 0000-0002-7616-9756 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
A Lightweight Approach for Building User Mobility Profiles
Data captured by mobile devices enable us, among other things, learn the places where users go, identify their home and workplace, the places they usually visit (e.g., supermarket, gym, etc.), the different paths they take to move from one place to another and even their routines. In summary, with this information, it is possible to learn a user mobility profile. In this work, we propose a lightweight approach for building mobility profiles from …
Integrating user modeling approaches into a framework for recommender agents
Purpose Recommender agents are used to make recommendations of interesting items in a wide variety of application domains, such as web page recommendation, music, e‐commerce, movie recommendation, tourism, restaurant recommendation, among others. Despite the various and different domains in which recommender agents are used and the variety of approaches they use to represent user interests and make recommendations, there is some functionality tha…
Integrating user modeling approaches into a framework for recommender agents
Purpose Recommender agents are used to make recommendations of interesting items in a wide variety of application domains, such as web page recommendation, music, e‐commerce, movie recommendation, tourism, restaurant recommendation, among others. Despite the various and different domains in which recommender agents are used and the variety of approaches they use to represent user interests and make recommendations, there is some functionality tha…
Integrating user modeling approaches into a framework for recommender agents
Purpose Recommender agents are used to make recommendations of interesting items in a wide variety of application domains, such as web page recommendation, music, e‐commerce, movie recommendation, tourism, restaurant recommendation, among others. Despite the various and different domains in which recommender agents are used and the variety of approaches they use to represent user interests and make recommendations, there is some functionality tha…
A Lightweight Approach for Building User Mobility Profiles
Data captured by mobile devices enable us, among other things, learn the places where users go, identify their home and workplace, the places they usually visit (e.g., supermarket, gym, etc.), the different paths they take to move from one place to another and even their routines. In summary, with this information, it is possible to learn a user mobility profile. In this work, we propose a lightweight approach for building mobility profiles from …
Computer Science (2 works) · World Wide Web (2 works) · Artificial Intelligence (1 works) · Caching and Content Delivery (1 works) · Context-Aware Activity Recognition Systems (1 works) · Data science (1 works) · FinTech, Crowdfunding, Digital Finance (1 works) · Geography (1 works) · Human Mobility and Location-Based Analysis (1 works) · Human–computer interaction (1 works)