Bridging memory-based collaborative filtering and text retrieval
نویسندگان
چکیده
منابع مشابه
Text Retrieval Methods for Item Ranking in Collaborative Filtering
Collaborative Filtering (CF) aims at predicting unknown ratings of a user from other similar users. The uniqueness of the problem has made its formulation distinctive to other information retrieval problems. While the formulation has proved to be effective in rating prediction tasks, it has limited the potential connections between these algorithms and Information Retrieval (IR) models. In this...
متن کاملPrivacy Protection in Memory-Based Collaborative Filtering
We discuss the issue of privacy protection in collaborative filtering, focusing on the commonly-used memory-based approach. We show that the two main steps in collaborative filtering, being the determination of similarities and the prediction of ratings, can be performed on encrypted profiles, thereby securing the users’ private data. We list a number of variants of the similarity measures and ...
متن کاملMemory Based Collaborative Filtering with Lucene
Memory Based Collaborative Filtering is a widely used approach to provide recommendations. It exploits similarities between ratings across a population of users by forming a weighted vote to predict unobserved ratings. Bespoke solutions are frequently adopted to deal with the problem of high quality recommendations on large data sets. A disadvantage of this approach, however, is the loss of gen...
متن کاملQoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering
Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
متن کاملImproving Memory-based Collaborative Filtering Using a Factor-based Approach
Collaborative Filtering (CF) systems generate recommendations for a user by aggregating item ratings of other like-minded users. The memory-based approach is a common technique used in CF. This approach first uses statistical methods such as Pearson’s Correlation Coefficient to measure user similarities based on their previous ratings on different items. Users will then be grouped into differen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Retrieval
سال: 2012
ISSN: 1386-4564,1573-7659
DOI: 10.1007/s10791-012-9214-z