A Two-Step Approach to Weighted Bipartite Link Recommendations
نویسندگان
چکیده
Many real-world person-person or person-product relationships can be modeled graphically. Specifically, bipartite graphs are especially useful when modeling scenarios involving two disjoint groups. As a result, existing papers have utilized to address the classical link recommendation problem. Applying principle of graphs, this research presents modified approach problem which employs two-step algorithm for making recommendations that accounts frequency and similarity between common edges. Implemented in Python, new was tested using data from Epinions Movielens sources. The findings showed it improved baseline results, performing within an estimated error 14 per cent. This produced promising findings, refined generate with even greater accuracy.
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2022
ISSN: ['2158-107X', '2156-5570']
DOI: https://doi.org/10.14569/ijacsa.2022.0131201