Web-based personalized hybrid book recommendation system

Salil, Kanetkar; Nayak, Akshay; Swamy, S. Srikanta; Bhatia, Gresha

doi:10.1109/icaetr.2014.7012952

Cited by 31 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The result shows that new association rule algorithm suitable to apply for recommender book in library. Salil Kanetkar [3] Recommender Systems have been around for more than a decade now. Choosing what book to read next has always been a question for many.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Book Recommendation System for Cloud Computing: A Survey

Patel¹,

Dangra²

2017

IJCA

View full text Add to dashboard Cite

Data mining is the approach to extract knowledge from raw data facts. Cloud computing is the emerging technique used to share resources and information among nodes. Recommender systems have made significant utility in daily routing life. Online shopping and Social networking sites are playing crucial role in routine life. Over 3.5 billion people uses internet for various purpose. Online shopping retail sales are predicted to grow steadily in upcoming years. Book recommendation is one of the major requirements of ecommerce portals for ease of reading and referencing purpose. This feature can help to increase shopping value with minimum shopping time. Logical recommendation not only helps to customer for purchasing but also increases total sales value. This research paper has attempted to explore the importance of book recommendation and existing solutions. It also investigates the existing solutions and scope of improvement to enhance the performance.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The complete phenomena provides scalable and robust environment of service provision. [3] Today most of the portals and web solutions always implemented with the help of cloud services. Simple object Access Protocol [SOAP] or REST service can be used to implement this cloud service model.…”

Section: Introductionmentioning

confidence: 99%

A Book Recommendation System for Cloud Computing: A Survey

Patel¹,

Dangra²

2017

IJCA

View full text Add to dashboard Cite

show abstract

“…Pijitra Jomsri developed a library book recommendation system based on user profile loaning and apply association rule to create model [2]. Salil Kanetkar, Akshay Nayak, Sridhar Swamy ,Gresha Bhatia proposed web-based personalized hybrid book recommender system [3] which exploits varied aspects of giving recommendations apart from the regular collaborative and content-based filtering approaches. Temporal aspects for the recommendations are incorporated.…”

Section: Existingmentioning

confidence: 99%

“…Natural Language Processing is also being incorporated nowadays to analyze user feedback. Context aware recommendations too are gaining popularity [3].…”

Section: Introductionmentioning

confidence: 99%

Personalized Book Recommendation System

Rathnavel

2017

ijecs

View full text Add to dashboard Cite

Recommender systems are found in many ecommerce applications today. Recommender systems usually provide the user with a list of recommendations that they might prefer, or supply predictions on how much the user might prefer each item. Choosing what book to read next has always been a question for many. Even for students, deciding which textbook or reference book to read on a topic unknown to them is a big question. There are two common approaches for providing recommendations, they are collaborative filtering and content based filtering. In this report we try to present a model for a personalized recommendation system for books that uses hybrid recommendation approach which is combination of content based and collaborative filtering. The proposed recommendation system tries to learn the user's preferences and recommends the books to the user based on their preferences. The system also recommends the books to the user based on the user's demographic parameters like age and location. The system also tries to understand the user's favourite author and recommends accordingly.

show abstract

“…It has the personalized recommendation system which provides the active recommendation function to the user, and it is widely used in various portal websites and electronic commerce system. It automatically recommends the object that meets the characteristics of the user [1,2].…”

Section: Introductionmentioning

confidence: 99%

Personalized Music Recommendation Based on Clustering Algorithm

Zhang¹,

Wang²,

Lv³

et al. 2017

Intelligent Computing and Information Engineering (ICIE)

View full text Add to dashboard Cite

Aiming at the recommendation of music field, this paper proposes a music recommendation algorithm based on attribute selection and application clustering. Firstly, the recommended progress of music conduct in-depth analysis to focus on building properties of music and the problems of interaction in the field of music recommendation. With clustering algorithm as the main method, more accurate clustering will make the recommendation more precise. Based on attribute building and clustering, the overall recommendation scheme is designed, and the music is clustered by attribute judgment. Experimental results show that music recommendation proposed algorithm has a better recommendation effect, can effectively improve the user experience.

show abstract

Web-based personalized hybrid book recommendation system

Cited by 31 publications

References 7 publications

A Book Recommendation System for Cloud Computing: A Survey

A Book Recommendation System for Cloud Computing: A Survey

Personalized Book Recommendation System

Personalized Music Recommendation Based on Clustering Algorithm

Contact Info

Product

Resources

About