ITEM-BASED COLLABORATIVE FILTERING BASED ON NLP TECHNIQUES
نویسندگان
چکیده
منابع مشابه
A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملa new similarity measure based on item proximity and closeness for collaborative filtering recommendation
recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. user similarity measurement plays an important role in collaborative filtering based recommender systems. in order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملA Contextual Item-Based Collaborative Filtering Technology
This paper proposes a contextual item-based collaborative filtering technology, which is based on the traditional item-based collaborative filtering technology. In the process of the recommendation, user’s important mobile contextual information are taken into account, and the technology combines with those ratings on the items in the users’ historical contextual information who are familiar wi...
متن کاملA Temporal Item-Based Collaborative Filtering Approach
Item-based collaborative filtering is becoming the most promising approach in recommender systems. It can predict an active user’s interest for a target item based on his observed ratings. With the user’s interests changing during interacting with collaborative filtering, the issue of concept drift is becoming a main factor impacting the accuracy of recommendation. Aiming at the issue of concep...
متن کاملUserrank for item-based collaborative filtering recommendation
Article history: Received 23 February 2010 Received in revised form 7 February 2011 Accepted 7 February 2011 Available online 15 February 2011 Communicated by J. Chomicki
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ژورنال
عنوان ژورنال: Ìnformacìjnì tehnologìï ta komp?ûterna ìnženerìâ
سال: 2021
ISSN: ['1999-9941', '2078-6387']
DOI: https://doi.org/10.31649/1999-9941-2021-51-2-17-22