Abstract: In the collaborative filtering recommendation algorithm, similarity calculation shows a significant influence in recommended quality.
Collaborative Recommendation for Scenic Spots based on Degree Centrality. November 2019. DOI:10.1109/ICSAI48974.2019.9010437. Conference: 2019 6th ...
Feb 27, 2020 · recommendation algorithm based on degree centrality is proposed. II. COLLABORATIVE RECOMMENDATION FOR SCENIC. SPOTS BASED ON DEGREE CENTRALITY.
In order to solve this problem, the research proposes a distance-based scenic recommendation algorithm. The algorithm introduces the distance between the user ...
In order to solve this problem, the research proposes a distance-based scenic recommendation algorithm. The algorithm introduces the distance between the user ...
Apr 28, 2022 · Mehrbakhsh et al. [11] developed a collaborative filtering recommendation system based on ontology and dimensionality reduction techniques.
Missing: Centrality. | Show results with:Centrality.
recommended that scenic spots broaden the channels of publicity, increase publicity efforts, promote scenic spots, special activities, and actively ...
Assessment of the cultural-natural importance of the scenic spots from a network perspective · Supporting Serendipitous Recommendations With Knowledge Graphs.
Sep 30, 2022 · Get a crash course on network science with our handy Reference Guide. Inside, you'll find handy definitions and resources to important ...