Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Pujari, Arun K."'
Particle Swarm Optimization (PSO) has emerged as a powerful metaheuristic global optimization approach over the past three decades. Its appeal lies in its ability to tackle complex multidimensional problems that defy conventional algorithms. However,
Externí odkaz:
http://arxiv.org/abs/2312.09703
Recommender systems aim to enhance the overall user experience by providing tailored recommendations for a variety of products and services. These systems help users make more informed decisions, leading to greater user engagement with the platform.
Externí odkaz:
http://arxiv.org/abs/2308.04247
Autor:
Kagita, Venkateswara Rao, Singh, Anshuman, Kumar, Vikas, Neerudu, Pavan Kalyan Reddy, Pujari, Arun K, Bondugula, Rohit Kumar
Group recommender systems (GRS) are critical in discovering relevant items from a near-infinite inventory based on group preferences rather than individual preferences, like recommending a movie, restaurant, or tourist destination to a group of indiv
Externí odkaz:
http://arxiv.org/abs/2307.12034
Collaborative filtering (CF) has become a popular method for developing recommender systems (RSs) where ratings of a user for new items are predicted based on her past preferences and available preference information of other users. Despite the popul
Externí odkaz:
http://arxiv.org/abs/2306.13050
Autor:
Rao, M. Sreenivasa, Pujari, Arun K.
Publikováno v:
Journal of Intelligent Systems, Vol 9, Iss 3-4, Pp 219-258 (1999)
Externí odkaz:
https://doaj.org/article/14e60a3fbc1546a5ac720620e6d72c7b
Recommender systems based on collaborative filtering play a vital role in many E-commerce applications as they guide the user in finding their items of interest based on the user's past transactions and feedback of other similar customers. Data Spars
Externí odkaz:
http://arxiv.org/abs/2203.13995
Traditional recommendation algorithms develop techniques that can help people to choose desirable items. However, in many real-world applications, along with a set of recommendations, it is also essential to quantify each recommendation's (un)certain
Externí odkaz:
http://arxiv.org/abs/2109.08949
Recommender systems(RS), especially collaborative filtering(CF) based RS, has been playing an important role in many e-commerce applications. As the information being searched over the internet is rapidly increasing, users often face the difficulty o
Externí odkaz:
http://arxiv.org/abs/2108.01473
Publikováno v:
In Knowledge-Based Systems 8 April 2024 289
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part B