نتایج جستجو برای: top k recommender systems
تعداد نتایج: 1650853 فیلتر نتایج به سال:
Abstract Top-N recommendation has received great attention in assisting students providing personalized learning guidance on the required subject/domain. Generally, existing approaches mainly aim to maximize overall accuracy of list while ignoring highly ranked recommended exercises, which seriously affects students’ enthusiasm. Motivated by Knowledge Distillation (KD) technique, we skillfully ...
We describe a case study, which shows how important negative results are in uncovering biased evaluation methodologies. Our research question is how to compare a recommender algorithm that uses an RDF graph to a recommendation algorithm that uses rating data. Our case study uses DBpedia 3.8 and the MovieLens 100k data set. We show that the most popular evaluation protocol in the recommender sys...
Various concepts, methods, and technical architectures of recommender systems have been integrated into E-commerce storefronts, such as Amazon.com, Netflix, etc. Thereby, recently, Web users have become more familiar with the notion of recommendations. Nevertheless, little work has been done to integrate recommender systems into scientific information retrieval repositories, such as libraries, ...
The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...
In the field of Artificial Intelligence (AI), Smart Enterprise Management Systems (Smart EMS) and big data analytics are most prominent computing technologies. A key component EMS system is E-commerce, especially Session-based Recommender systems (SRS), which typically utilized to enhance user experience by providing recommendations analyzing behavior encoded in browser sessions. Also work reco...
There are several applications, such as play lists of songs or movies, and shopping carts, where users are interested in finding top-k packages, consisting of sets of items. In response to this need, there has been a recent flurry of activity around extending classical recommender systems (RS), which are effective at recommending individual items, to recommend packages, or sets of items. The fe...
We investigate the use of dimensionality reduction to improve performance for a new class of data analysis software called “recommender systems”. Recommender systems apply knowledge discovery techniques to the problem of making product recommendations during a live customer interaction. These systems are achieving widespread success in E-commerce nowadays, especially with the advent of the Inte...
Researchers spent lots of time in searching published articles relevant to their project. Though having similar interest in projects researches perform individual and time overwhelming searches. But researchers are unable to control the results obtained from earlier search process, whereas they can share the results afterwards. We propose a research paper recommender system by enhancing existin...
In this paper, we report the experiments that we conducted for two of the tasks of the ESWC’14 Challenge on Linked Open Data (LOD)-enabled Recommender Systems. Task 2 and Task 3 dealt with the top-N recommendation problem from a binary user feedback dataset and results were evaluated on the accuracy and diversity respectively of the recommendations produced in a Top-N recommendation list for ea...
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