接着经过简单的 filtering 和 parsing 去掉不关心的数据,比如对于微博的话题来说,某一些词是小词,或者是我们不希望成为话题的词;而某一些近似词可以合并。完成以后数据有两个去向,一个是右侧的即时统计,一个是持久化到下方的数据库Redis这样的 KV 数据库)。 对于每一个词,经过 hash 以后,到 Count-min Sketch ...
a.协同过滤 协同过滤(Collaborative Filtering, CF)是最常用和经典的推荐算法,基本原理就是根据用户的历史偏好,发现用户、物品或者内容间的相关性,进行推荐。协同过滤可细分为基于用户、基于物品的推荐算法。
Collaborative filtering is one of the most widely used memory-based approaches in recommender systems. CF uses the known preferences of a group of users to recommend or predict the unknown preferences for other users. Top-n item recommendation is an important tasks for recommendation and more ...
However, such invert table-based index structure cannot cope well with the significant increase and complexity of STBD33, especially in the complex spatial multi keyword query, because there are usually the demands of large filtering and traversal operations to extract frequent items from table-based ...
确认transformers库版本是否支持top_k_top_p_filtering函数: top_k_top_p_filtering函数是用于在生成文本时应用top-k和top-p过滤的策略,以减少生成文本的重复性和提高多样性。这个函数在某些版本的transformers库中可能不存在或者位置有所变动。首先,你需要确认你当前安装的transformers库版本是否包含这个函数。 你可以...
This paper examines some of the reasons why the dominant paradigms in association mining have not lived up to their promise, and argues that a powerful alternative is provided by top-k techniques coupled with appropriate statistical and other filtering. © 2011 John Wiley & Sons, Inc. ...
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. User Modeling and User-adapted Interaction, 2019,29(2):443−486. [doi: 10.1007/s11257- 018-9217-6] 附中文参考文献: [4] 白琳,叶丹,魏峻,黄涛.一种高效的基于服务功能规约...
Continuous processing of top-k queries over data streams is a promising technique for alleviating the information overload problem as it distinguishes relevant from irrelevant data stream objects with respect to a given scoring function over time. Thus it enables filtering of irrelevant data objects an...
Sensors,Indexes,Query processing,Energy consumption,Cloud computing,Prefetching,FilteringThe large-scaled and multifarious smart things generate huge sensory data in the Internet of Things (IoT). The collaboration of cloud computing and edge computing is acquired to support industrial applications to ...
It can keep sensor nodes from transmitting redundant data to base station by filtering methods utilizing thresholds on sensor nodes, which decreases the communication cost between the base station and sensor nodes. Quantiles installed on sensor nodes as thresholds can filter many unlikely top-k ...