Trends in content-based recommendation
نویسندگان
چکیده
منابع مشابه
Content-Based Recommendation Systems
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, news articles, restaurants, television programs, and items for sale. Although the details of various sy...
متن کاملContent-Based News Recommendation
The information overloading is one of the biggest problems nowadays. We can see it in various domains, including business, especially in the news. This is more significant in connection to web and news portals, where the quality of the news portal is commonly measured by amount of news added to the site. Then the most renowned news portals add hundreds of new articles daily. The classical solut...
متن کاملContent-Based Citation Recommendation
We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved citations. Unlike previous work, our method does not require metadata such as author names which ca...
متن کاملDeep content-based music recommendation
Automatic music recommendation has become an increasingly relevant problem in recent years, since a lot of music is now sold and consumed digitally. Most recommender systems rely on collaborative filtering. However, this approach suffers from the cold start problem: it fails when no usage data is available, so it is not effective for recommending new and unpopular songs. In this paper, we propo...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: User Modeling and User-Adapted Interaction
سال: 2019
ISSN: 0924-1868,1573-1391
DOI: 10.1007/s11257-019-09231-w