[1] Gediminas Adomavicius and Alexander Tuzhilin, Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions [2] Michael J. Pazzani and Daniel Billsus, Content-Based Recommendation Systems, 2007 [3] Pasquale Lops, Marco de Gemmis and Giovann...
This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user's interests. Content-based recommendation systems may be used in a variety of domains ranging from recommending web pages,...
Content-based recommendation systems[M]//The adaptive web. Springer Berlin Heidelberg, 2007: 325-341.Pazzani M, Billsus D (2007) Content-based recommendation systems. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web, vol 4321 of Lecture Notes in Computer Science. Springer, ...
evolution of recommendation systems has revolutionized user experiences by providing personalized recommendations. Although conventional systems such as co... K Singh,DhawanSanjeev,BaliNisha - 《Automatic Control & Computer Sciences》 被引量: 0发表: 2024年 Research on the Design of Intelligent Recommendat...
Recommender systems have the effect of guiding users in a personalized way to interesting objects in a large space of possible options. Content-based recommendation systems try to recommend items similar to those a given user has liked in the past. Indeed, the basic process performed by a conten...
Recommender systems have the effect of guiding users in a personalized way to interesting objects in a large space of possible options. Content-based recommendation systems try to recommend items similar to those a given user has liked in the past. Indee
Recommendation systems play an important role in boosting purchasing consumption for many manufacturers by helping consumers find the most appropriate item
so does the difficulty in finding relevant information. Content-based recommendation (CBR) systems could help analysts in finding and managing workbooks relevant to their interests. Toward this goal, we focus on text-based content that is representative of the subject matter of visualizat...
On this basis, the general steps of content-Based recommendation with Vague Sets were given in the paper, in order to get a new idea and method to recommender systems designers. Finally, some recommender formula with different features are given, which will be conducive to the work of the ...
Nowadays, user-generated content based recommendation systems (UGC-Recsys) have become a very popular trend in recent years. In this thesis, recommendation systems based on three types of user-generated data are proposed, and their efficient evaluation is studied. First, this thesis focuses on a...