imrchen profile

Recent Activity

• 07:57: posted Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences
• 07:52: posted An approach for combining content-based and collaborative filters

• 07:52: posted Mining changes in customer buying behavior for collaborative recommendations

• 01:26: posted {The Discipline of Machine Learning}

• 09:06: posted Mining E-Commerce Data to Analyze the Target Customer Behavior
• 08:36: posted Show me the money!: deriving the pricing power of product features by mining consumer reviews
• 07:19: posted Privacy and Confidentiality in an e-Commerce World: Data Mining, Data Warehousing, Matching and Disclosure Limitation
• 06:37: posted Digital content recommender on the Internet
• 05:39: posted When are recommender systems useful?
• 05:18: posted Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites
• 04:55: posted On the diffusion of electronic commerce
• 04:53: posted Culture and web communications
• 04:29: posted Using contextual information and multidimensional approach for recommendation
• 04:29: posted Mining the text information to optimizing the customer relationship management
• 04:23: posted Using mixture models for collaborative filtering
• 04:20: posted Collaborative filtering with interlaced generalized linear models
• 04:18: posted "Bricks-and-mortar" vs. "clicks-and-mortar": An equilibrium analysis
• 04:13: posted {Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data}
• 04:00: posted Patterns Based Classifiers
• 03:59: posted A Personalized Recommendation System Based on PRML for E-Commerce
• 03:41: posted Research on Personalized Recommendation System of Scientific and Technological Periodical Based on Automatic Summarization
• 03:40: posted {Analysis and Classification of Multi-Criteria Recommender Systems}
• 03:33: posted Building Personalized Recommendation System in E-Commerce using Association Rule-Based Mining and Classification
• 03:26: posted Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands
• 03:09: posted A Hybrid of Sequential Rules and Collaborative Filtering for Product Recommendation
• 03:08: posted {Evaluating product search and recommender systems for E-commerce environments}
• 02:58: posted {Understanding collaborative filtering parameters for personalized recommendations in e-commerce}
• 02:56: posted Labeled Link Analysis for Extracting User Characteristics in E-commerce Activity Network
• 02:47: posted A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
• 02:39: posted An analysis of consumer power on the Internet

• 14:08: posted Evolution of e-commerce Web sites: A conceptual framework and a longitudinal study
• 13:58: posted Context-Based Recommender Systems in Conventional Grocery--An Economic Analysis
• 13:51: posted Robustness of collaborative recommendation based on association rule mining
• 13:50: posted An associative classification-based recommendation system for personalization in B2C e-commerce applications
• 13:24: posted Is seeing believing?: how recommender system interfaces affect users' opinions
• 11:16: posted Shilling recommender systems for fun and profit
• 05:56: posted Impact of social influence in e-commerce decision making
• 05:56: posted Consumer behavior in electronic commerce environments and fashion effect

• 15:26: posted Design of a two-stage fuzzy classification model
• 15:18: posted Towards personalized recommendation by two-step modified Apriori data mining algorithm
• 15:13: posted Evaluation of recommender systems: A new approach
• 08:41: posted Personalized product recommendation based on customer value hierarchy
• 08:32: posted E-Commerce Technology: Back to a Prominent Future
• 08:29: posted An Improved Personalized Collaborative Filterinng Algolrithm in E-Commerce Recommender System
• 08:22: posted Informed Recommender: Basing Recommendations on Consumer Product Reviews
• 08:17: posted A Survey of E-Commerce Recommender Systems
• 08:15: posted Topic-level Trust in Recommender Systems
• 07:50: posted Educational data mining: A survey from 1995 to 2005

• 17:19: posted Meta-recommendation systems: user-controlled integration of diverse recommendations