A Survey Report on the Novel Approach on Use of Recommendation Outline in Query Recommender System
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Title: A Survey Report on the Novel Approach on Use of Recommendation Outline in Query Recommender System

Section 1: Introduction And Motivation
Description 1: Introduce the problem of difficulty in formulating SQL queries in Database Management Systems and motivate the need for a Query Recommendation Assistant Tool.

Section 2: Related Work
Description 2: Discuss the existing research and approaches in the field of web and database context recommendation systems.

Section 3: Recommendation Outline
Description 3: Provide an overview of the types of recommendation systems and their respective methodologies.

Section 4: Recommendation Techniques
Description 4: Outline various mathematical and statistical techniques used to compute similarity in recommendation systems.

Section 5: Terminology
Description 5: Explain the terminology and weighting schemes used for calculating the weights of SQL fragments to identify similarities among users.

Section 6: Comparison Between Fragment Based Approach And Matrix Factorization
Description 6: Compare and contrast the fragment-based approach with the matrix factorization approach in query recommendation.

Section 7: Conclusion
Description 7: Summarize the findings and emphasize the potential of well-established web recommendation techniques to design an interactive query recommendation system.