THOR: A Hybrid Recommender System for the Personalized Travel Experience

One of the travelers’ main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve the problem of information overload. In this work, we design and implement “The Hybrid Offer Ranker” (THOR), a hybrid, personalized recommender system for the transportation domain. THOR assigns every traveler a unique contextual preference model built using solely their personal data, which makes the model sensitive to the user’s choices. This model is used to rank travel offers presented to each user according to their personal preferences. We reduce the recommendation problem to one of binary classification that predicts the probability with which the traveler will buy each available travel offer. Travel offers are ranked according to the computed probabilities, hence to the user’s personal preference model. Moreover, to tackle the cold start problem for new users, we apply clustering algorithms to identify groups of travelers with similar profiles and build a preference model for each group. To test the system’s performance, we generate a dataset according to some carefully designed rules. The results of the experiments show that the THOR tool is capable of learning the contextual preferences of each traveler and ranks offers starting from those that have the higher probability of being selected

Gallic Acid Exerts Nephroprotective, Anti-Oxidative Stress, and Anti-Inflammatory Effects Against Diclofenac-Induced Renal Injury in Malerats

Background/aim: Diclofenac (DIC) is a Nonsteroidal anti-inflammatory drug (NSAID) and consumption of this drug creates side effects such as renal injury. The purpose of this work was to assess the influences of gallic acid (GA) on DIC-induced renal injury in rats. Material and methods: Rats were segregated into five groups. Group 1, control group; Group 2 received DIC-only (50 mg/kg bw, i.p.) for 7 consecutive days; Groups 3, received GA-only (100 mg/kg bw, po) for 7 consecutive days; group 4 received DIC (50 mg/kg bw, i.p.) plus GA (50 mg/kg, po) for 7 consecutive days and group 5 received DIC (50 mg/kg bw, i.p.) plus GA (100 mg/kg, po) for 7 consecutive days. Results: The data indicated that the levels of the serum protein carbonyl, sGOT, sGPT, urea, creatinine, uric acid, nitrite content, MDA, serum IL-1β, and the renal IL-1β gene expression were remarkably increased in DIC-only treated animals compared to control group. In the other hand, treatment with gallic acid led to significant improvements in abnormalities of DIC-induced oxidative stress and serum biochemical parameters. Histological changes were also ameliorated by GA oral administration. Conclusion: The results indicated that oral injection of GA could alleviate the noxious effects of DIC on the antioxidant defense system and renal tissue. Keywords: Diclofenac; Gallic acid; IL-1β; Oxidative stress; Renal injury