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6 search results found

Jstarcraft Rns ⭐ 368

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

Research On Collaborative Filtering Algorithms ⭐ 65

Research on Collaborative Filtering Algorithms

Recommend ⭐ 28

A UI library for Algolia Recommend, available for Vanilla JavaScript and React.

Javarank ⭐ 13

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

Recommendbyitemcf ⭐ 11

Hadoop mapreduce. 基于ItemCF的协同过滤物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF

Recommend Ios Sdk ⭐ 6

Recommend iOS SDK

Ddwlib Plugin Installer Recommendations ⭐ 5

A library class for WordPress plugins to tweak the results of the WordPress Plugins API with custom plugin recommendations.

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