Recommender System Based on Semantic Similarity
نویسندگان
چکیده
منابع مشابه
IMPROVE THE RECOMMENDER SYSTEM USING SEMANTIC WEB
To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include a...
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A personalized product recommendation is an effective mechanism to overcome information overload occurred when customers conduct Internet shopping. The paper presents a personalized recommender system, which integrates semantic similarity computation and TOPSIS method. First, semantic similarity is computed by constructing semantic vector-space, in order to realize the semantic content-based fi...
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One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
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Recommender systems could be seen as an application of a data mining process in which data collection, pre-processing, building user profiles and evaluation phases are performed in order to deliver personalised recommendations. Collaborative filtering systems rely on user-to-user similarities using standard similarity measures. The symmetry of most standard similarity measures makes it difficul...
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—Online forums enable users to discuss together around various topics. One of the serious problems of these environments is high volume of discussions and thus information overload problem. Unfortunately without considering the users interests, traditional Information Retrieval (IR) techniques are not able to solve the problem. Therefore, employment of a Recommender System (RS) that could sugge...
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2013
ISSN: 2088-8708
DOI: 10.11591/ijece.v3i6.3931