अमूर्त

An Overview of Content Recommendation Methods

Neethu Raj , Suja Rani M S

Now a days web plays an important role in the distribution of information from different sources to the users. The main problem that comes into play is called Information overloading where, search engines retrieve plenty of contents related to any keyword query that are provided by the users. Users prefer the fast retrieval of data while browsing the portals. Here comes the importance of content recommendation. Content recommendation helps to overcome information overloading problem by choosing the best matching contents. Thus users get better response without wasting their time. Most of the recommendation systems face various difficulties while identifying high quality items and providing this to users. So this is our motivation for conducting an analysis on content recommendation. Here we compare different methods for content recommendation.

अस्वीकृति: इस सारांश का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया है और इसे अभी तक समीक्षा या सत्यापित नहीं किया गया है।

में अनुक्रमित

Index Copernicus
Academic Keys
CiteFactor
Cosmos IF
RefSeek
Hamdard University
World Catalogue of Scientific Journals
International Innovative Journal Impact Factor (IIJIF)
International Institute of Organised Research (I2OR)
Cosmos

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