Titlebook: Advances in Web Mining and Web Usage Analysis; 7th International Wo Olfa Nasraoui,Osmar Za?ane,Philip S. Yu Conference proceedings 2006 Spr

頂點

移植

低三下四之人

BRIBE

Conceptualising Construction Disputesly designed to serve all users, without considering the interests of individual users. We propose a method to (re)rank the results from a search engine using a learned user profile, called a user interest hierarchy (UIH), from web pages that are of interest to the user. The user’s interest in web pa

表主動

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/150175.jpg

暖昧關(guān)系

Mining Significant Usage Patterns from Clickstream Data,e Patterns (SUP) is proposed and used to acquire significant “user preferred navigational trails”. The technique uses pipelined processing phases including sub-abstraction of sessionized Web clickstreams, clustering of the abstracted Web sessions, concept-based abstraction of the clustered sessions,

肌肉

Eosinophils

Overcoming Incomplete User Models in Recommendation Systems Via an Ontology,e weaknesses are due to a lack of inductive bias in the learning methods used to build the prediction models. We propose a new method that extends the utility model and assumes that the structure of user preferences follows an ontology of product attributes. Using the data of the MovieLens system, w

管理員

Data Sparsity Issues in the Collaborative Filtering Framework, greater user efficiency has emerged. Within the fields of user profiling and Web personalization several popular content filtering techniques have been developed. In this chapter we present one of such techniques – collaborative filtering. Apart from giving an overview of collaborative filtering ap

QUAIL