[PDF] Top 20 Content Based Citation Recommendation
Has 10000 "Content Based Citation Recommendation" found on our website. Below are the top 20 most common "Content Based Citation Recommendation".
Content Based Citation Recommendation
... a content-based method for rec- ommending citations in an academic paper ...a citation rec- ommendation ...for citation recommendation based on our method, 1 and a new dataset ... See full document
14
Content Aware Recipe Recommendation System based on Co Occurrence Relation
... hybrid recommendation system for personalized recipe mobile ...hybrid recommendation algorithm, combining content-based and collaborative filtering, is designed to improve the recipe ... See full document
5
Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System
... core recommendation technique used to generate the recommendations are all customized to provide useful and effective suggestions for that specific type of ...of recommendation, it has become an autonomous ... See full document
6
User preference tree based personalized online learning managment system
... for recommendation. These features may be used by case-based reasoning (CBR) or data mining techniques for ...items based on the matching of their attributes to the user ...rate based on each ... See full document
7
Vol 15, No 3 (2015)
... transactions. Recommendation systems are widely used for recommending products to the end users in their interested ...users based on the browsing history which may or may not be of user’s interest and also ... See full document
10
A Recommendation Based Efficient Secure discover-predict-deliver Content Sharing Scheme
... content discovery and delivery. Ideally, a query should only be forwarded to neighbours that hold matching contents or those are on the path to other nodes having matching content [13]. Different nodes ... See full document
8
Content based Video Retrieval and Recommendation Using Speech and Text information
... The lecture content-based metadata can be gathered by using OCR and ASR tools. However the recognition results of automatic analysis engines are often error prone and a large amount of irrelevant words are ... See full document
6
Generating Quality Items Recommendation by Fusing Content based and Collaborative filtering
... The Final Prediction block then finally generates FRecV values for every item in the interested_items list of the target user. These items are recommended in descending order of their FRecV values. The precision and ... See full document
5
The transformative impact of business models
... deliver content on demand while software tools help to turn user-generated information into a value-added component of a ...subscription- based content services on the ...sophisticated ... See full document
37
Title: Ontology Based Virtual Assistant for Diet Recommendation
... and content-based filtering are also increasing the efficiency (and complexity) of recommender ...and content-based filtering creates the potential for a more accurate ...toward ... See full document
5
An Overview of Content Recommendation Methods
... for content items and exploit similarities and differences among other ...calculated based on the similarity in the rating history of ...much content associated with items or where the content ... See full document
6
Combination of Content Based User Profiling and Local Collective Embeddings for Job Recommendation
... models: Content-based User Pro- filing and Local Collective ...first content-based model contains many hand-tuned parameters and data insights, so it performs fairly well on the task of the ... See full document
10
Review on Smart Food Recipe Recommendation Application Using Content-Based Filtering Algorithm
... Nowadays, people are faced with a limited selection of meals and are often constrained in searching for recipes (i.e. having full working day). Preparing meals may requires people to search, think, prepare, and even ... See full document
7
Implementation on Smart Food Recipe Recommendation Application Using Content-Based Filtering Algorithm
... item recommendation based on the content of the item and the user’s ...this content-based profiling to provide the ―favorite‖ feature to indicate a user’s preference on categories of ... See full document
7
Exploring Approaches Of Recommendation System In Support Of Verdict And Comparison: A Per-sonalized Prospect
... So Recommendation Systems came for rescue with Personalization which permit to present contents to user founded on explored patterns using data mining ...of Recommendation Systems and Personalization is ... See full document
10
Automated Case Generation for Recommender Systems Using Knowledge Discovery Techniques
... product recommendation (Cunningham et ...product recommendation; there is the content-based approach (case-based) and the collaborative recommendation ...collaborative ... See full document
7
Scalable Content- Aware Collaborative Filtering for Location Recommendation
... Location recommendation assumes a basic role in helping individuals find attractive ...explicit–feedback-based content-aware collaboration filtering , however they require drawing negative examples ... See full document
5
An Integral Tag Recommendation Model for Textual Content
... textual content with a multi-layer RNN to capture its sequential nature in the encoder, and aug- ment it with the attention mechanism to learn the text areas that are more closely related to each of the ... See full document
8
User Data Driven Recommendation for Location
... Location recommendation plays a crucial play in serving to users to seek out their interested ...feedback- based mostly content-aware (cf)collaborative filtering, however they have to draw negative ... See full document
5
Recommender Systems: From Achievements to Requirements
... systems, recommendation approaches and algorithms developed so far ...common recommendation approaches of collaborative filtering, content based filtering and hybrid recommender ...common ... See full document
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