Name
Abstract | ||
|---|---|---|
Personalized location-based service recommendation is an important trend in the development of online ecommerce applications. In this work, we integrate the application of location-based service with recommendation technologies to present a hybrid recommendation model and a prototype system (HiPerData) to evaluate and measure the validity based on the Yelp dataset. In order to solve the four recommendation problems, we improve a predictive feature-based regression model, and combine the results of a set of collaborative filtering algorithms, which includes: SVD (Singular value decomposition), SVR (Support vector regression), SGD (Stochastic gradient descent), etc. Unlike previous approaches, we apply multiple methods to pre- and post-process the dataset and predict ratings, for example, a weighted pairwise preference regression for cold start problems, etc. We enhance the neighborhood-based approach leading to a substantial improvement of prediction accuracy. Our method gave the best overall results with a root mean square error of 1.22724. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BigData.2014.7004211 | BigData Conference |
Keywords | Field | DocType |
stochastic processes,collaborative filtering,svd,svr,support vector regression,regression analysis,recommender systems,yelp dataset,personalized location-based recommender system,hybrid recommendation model,least mean squares methods,sgd,gradient methods,root mean square error,predictive feature-based regression model,collaborative filtering algorithms,location-based service,stochastic gradient descent,singular value decomposition,support vector machines | Recommender system,Data mining,Pairwise comparison,Stochastic gradient descent,Collaborative filtering,Regression analysis,Computer science,Support vector machine,Mean squared error,Artificial intelligence,Preference regression,Machine learning | Conference |
ISSN | Citations | PageRank |
2639-1589 | 1 | 0.35 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubing Duan | 1 | 235 | 16.38 |
| Rick Siow Mong Goh | 2 | 336 | 40.34 |
| Feng Yang | 3 | 1 | 0.35 |
| Yong Kiam Tan | 4 | 107 | 12.93 |
| Jesus F. B. Valenzuela | 5 | 1 | 1.03 |