Personalization Techniques and Recommender Systems pdf epub mobi txt 电子书 下载 2025
- 个性化推荐
- 数据挖掘
- 推荐系统
- 机器学习
- recommender
- 计算机
- RecommendationSystem
- DataMining
Contents:
==User Modeling and Profiling:
* Personalization-Privacy Tradeoffs in Adaptive Information Access (B Smyth)
* A Deep Evaluation of Two Cognitive User Models for Personalized Search (F Gasparetti & A Micarelli)
* Unobtrusive User Modeling for Adaptive Hypermedia (H J Holz et al.)
* User Modelling Sharing for Adaptive e-Learning and Intelligent Help (K Kabassi et al.)
==Collaborative Filtering:
* Experimental Analysis of Multiattribute Utility Collaborative Filtering on a Synthetic Data Set (N Manouselis & C Costopoulou)
* Efficient Collaborative Filtering in Content-Addressable Spaces (S Berkovsky et al.)
* Identifying and Analyzing User Model Information from Collaborative Filtering Datasets (J Griffith et al.)
==Content-Based Systems, Hybrid Systems and Machine Learning Methods:
* Personalization Strategies and Semantic Reasoning: Working in Tandem in Advanced Recommender Systems (Y Blanco-Fernández et al.)
* Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device (J Zhu et al.)
* User Acceptance of Knowledge-Based Recommenders (A Felfernig et al.)
* Using Restricted Random Walks for Library Recommendations and Knowledge Space Exploration (M Franke & A Geyer-Schulz)
* An Experimental Study of Feature Selection Methods for Text Classification (G Uchyigit & K Clark)
具体描述
读后感
评分
评分
评分
评分
用户评价
论文论文！
评分论文论文！
评分论文论文！
评分论文论文！
评分论文论文！
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有