A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity
Bibliographic Data
| ID | 4699073 |
|---|---|
| Authors | Vinti Agarwal (0000-0002-6207-7527, Jawaharlal Nehru University, corresponding author), K K Bharadwaj (0000-0003-4862-8545, Jawaharlal Nehru University, corresponding author) |
| Year | 2013 |
| Volume | 3 |
| Issue | 3 |
| Pages | 359-379 |
| Publication date | 2013-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-012-0083-7 |
| OpenAlex | W1996320586 |
| Language | EN |
| Citations received | 7 |
| References cited | 54 |
Collaborative filtering · Data mining · Information overload · Information retrieval · Machine learning · Preference · Recommender system · Social media · World Wide Web · Computer Science · Digital Marketing and Social Media · Human Mobility and Location-Based Analysis · Mathematics · Recommender Systems and Techniques · Artificial Intelligence
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The Strength of Weak Ties
| Unique citing works | 7 |
|---|---|
| Citations per year | 0,54 |
| Citation span | 2013 - 2025 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |