Abstract

Recommender systems recommend products to customers based on ratings or past customer activities. It has the effect of guiding users in a personalized way to achieve remarkable objects in a large space of achievable options. In this paper, we proposed a method which is based on recommender systems for software requirements negotiation and prioritization. Finally, the utilization recommender system is demonstrated with the help of an example.

References

• Rana C and Jain S. K, "A Study of Dynamic Features of Recommender Systems," Artificial Intelligent Rev, pp. 141-153, Springer, November 2012.
• Resnick P and Varian HR, "Recommender Systems," Communication ACM, pp. 56-58, 1997.
• Sadiq M and Jain S. K. , "Stakeholders Identification Methods in Goal Oriented Requirements Elicitation Process", Fifth IEEE International Workshop on Requirements Prioritization and Communication at IEEE International Requirements Engineering Conference (RE), pp. 25-33, 2014 Karlskrona, Sweden.
• Kotonya, G. and Sommerville, I. , "Requirements Engineering, Process and Techniques", Willy New York 1998.
• Sadiq M. and Jain S. K. , "A Fuzzy Based Approach for the Selection in Goal Oriented Requirements Elicitation Process", International Journal of System Assurance Engineering and Management, Springer, 2014.
• Sadiq Mohd, Jain S. K, "Applying Fuzzy Preference Relation for Requirements Prioritization in Goal Oriented Requirement".
• Sadiq Mohd, "Prediction of Software Project Effort Using Fuzzy Logic", IEEE 3rd International Conference on Electronics, Computer Technology, pp. 353-358, 2014.
• Sadiq M and Jain S. K. , "A Fuzzy Based Approach for Requirements Prioritization in Goal Oriented Requirements Elicitation Process", International Conference of Software Engineering and Knowledge Engineering (SEKE), pp. 54-58, 2013 USA.
• Sadiq M and Jain S. K. , "Stakeholders Identification Methods in Goal Oriented Requirements Elicitation Process", Fifth IEEE International Workshop on Requirements Prioritization and Communication at IEEE International Requirements Engineering Conference (RE), pp. 25-33, 2014 Karlskrona, Sweden.
• Sadiq M. and Jain S. K. , "A Fuzzy Based Approach for the Selection in Goal Oriented Requirements Elicitation Process", International Journal of System Assurance Engineering and Management, Springer, 2014.
• Z-p. Fan, Y. Liu, "A Method for Group Decision-Making Based on Multi-Granularity Uncertain Linguistic Information", Expert Systems with Applications, pp. 4000–4008, 2010.
• Choi K, Yoo D, Kim G, and Suh Y, "A Hybrid Online Product Recommendation System: Combining Implicit Rating Based Collaborative Filtering and Sequential Pattern Analysis", Electronic Commerce Research and Applications, 2012.
• Lee S. K, Cho Y. H, and Kim S. H, "Collaborative Filtering with Ordinal Scale-Based Implicit-Ratings for Mobile Music Recommendations", Information Sciences, pp. 2142-2155, 2010.
• Nunez-Valdez E. R, Cueva-Lovelle J. M, Sanjuan-Martinez O, Garcia-Diaz V, Ordonez P, and Montenegro-Marin C. E. , "Implicit Feedback TYechniques on Recoomender Systems Apllied to Electronic Books", Computers in Human Behavior, pp. 1186-1193, 2012.
• Bobadilla J, Ortega F, Hernando A, and Gutierrez A, "Recommender Systems Survey", Knowledge Based Systems, University Politecnica de Madrid, Ctra. De Valencia, Madrid, Spain, pp. 109-132, 2013.
• Supatra S. and Boonjing V, "IIS Mine: A New Efficient Method for Mining Frequency Item Sets", "Maejo International Journal of Science and Technology", pp. 130-151, 23 April 2012.
• Tilahun S. L and Choon Ong H, "Fuzzy Preference of Multi Decision-Makers in Solving Multi Objective Optimization Problems using Generic Algorithm", "Maejo International Journal of Science and Technology", pp. 224-237, 23 June 2012.
• Castro-Herrera C, Duan C, Cleland-Huang J, and Mobasher B, "Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Process", 16th IEEE International Requirements Engineering Conference, pp. 165-168, 8-12 September 2008, Catalunya.