Enhancing Context-Aware Hybrid Collaborative Filtering Using DBSCAN Clustering Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8135-9_10
Reference16 articles.
1. Abinaya S, Kavitha Devi MK (2022) Trust-based context-aware collaborative filtering using denoising autoencoder. In: Pervasive computing and social networking: proceedings of ICPCSN 2021, Springer Singapore, pp 35–49
2. Huang H (2016) Context-aware location recommendation using geotagged photos in social media. ISPRS Int J Geo Inf 5(11):195
3. Majid A, Chen L, Mirza HT, Hussain I, Chen G (2015) A system for mining interesting tourist locations and travel sequences from public geo-tagged photos. Data Knowl Eng 95:66–86
4. Abinaya S, Devi MK (2021) Enhancing top-N recommendation using stacked autoencoder in context-aware recommender system. Neural Process Lett 53:1865–1888
5. Abinaya S, Kavitha Devi MK, Sherly Alphonse A (2022) Enhancing context-aware recommendation using hesitant fuzzy item clustering by stacked autoencoder based smoothing technique. Internat J Uncertain Fuzziness Knowledge-Based Syst 30(04):595–624
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