Traditional citation recommendation algorithms rely heavily on the metadata of query documents, which leads to the low quality of recommendation results. In this paper, DeepCite, a content-based hybrid neural network citation recommendation method is proposed. First, the BERT model was used to ...
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,...
Citation If you find our work useful in your research, please consider citing: @inproceedings{liu2023once,title={ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models},author={Qijiong Liu and Nuo Chen and Tetsuya Sakai and Xiao-Ming Wu},booktitle=...
The underlying full-text and citation data is taken from the Case Law Access Project and CourtListener. Scripts for data preprocessing are in ./datasets. mkdir -p ./data/ocb ./data/wikisource # Open Case Book wget https://github.com/malteos/legal-document-similarity/releases/download/1.0/...
Citation Excerpt : Recommendation systems predict the ratings for the items which have been left unseen and create a ranked list of products according to user requirements (Ricci, Rokach, & Shapira, 2011). Due to the problem of information overload (Edmunds & Morris, 2000; Gandomi & Haider, ...
38Citations 3Altmetric Abstract Publish-subscribe systems are evolving toward using content-based subscription rather than subject-based subscription. A key problem in implementing such systems is that a straightforward mapping from matching sets to multicast groups produces a number of groups that rapidly...
During operation of a particular embodiment, commerce engine630may prepare a catalog of assets available for purchase, including recommendations for content provided by recommendation engine642. In particular, commerce engine630may forward real-time context data644related to current activity by a user of...
After the user electronic device100checks the content corresponding to the selection signal as described above, the user electronic device100may receive a recommendation on at least one portion of content from the content recommending device200. Here, with respect to the user electronic device100, th...
Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items (e.g., Web
Export Citation: Click for automatic bibliography generation Assignee: Yahoo! Inc. (Sunnyvale, CA, US) Primary Class: 715/784 International Classes: G06F3/0485 View Patent Images: Download PDF 20140331169 Related US Applications: 20140250407METHOD, APPARATUS AND COMPUTER READABLE STORAGE MEDIUM FOR DIS...