A Scalable People-to-People Hybrid Reciprocal Recommender Using Hidden Markov Models
نویسندگان
چکیده
Most existing reciprocal recommender systems use either profile similarity or interaction similarity to recommend new matches, assuming that user preferences are static and ignoring temporal aspects of user behaviour. This paper takes a different approach, and addresses the issue of representing user preferences as dynamic. We introduce a new representation for changes in user preferences and use that representation in creating a reciprocal recommender system applied to online dating. In this paper, we develop a general framework for combining a Hidden Markov model (HMM) content-based reciprocal recommender system with collaborative filtering techniques to create a unified hybrid recommender. Additionally, a new similarity measure is introduced to rank the recommendations generated by this hybrid recommender. Moreover, we propose, design and implement a reciprocal recommender system using the suggested framework and the new similarity measure. Evaluation of this system shows that it generates better recommendations than existing systems in a time-efficient manner.
منابع مشابه
A New WordNet Enriched Content-Collaborative Recommender System
The recommender systems are models that are to predict the potential interests of users among a number of items. These systems are widespread and they have many applications in real-world. These systems are generally based on one of two structural types: collaborative filtering and content filtering. There are some systems which are based on both of them. These systems are named hybrid recommen...
متن کاملAmmar Alanazi
[A Probabilistic Reciprocal Recommender with Temporal Dynamics] Recommender systems are methods of personalisation that provide online services users with suggestions for further interaction with those services. Most recommender systems are for product-to-consumer recommendation, suggesting items or products to users, but there is a growing need for reciprocal recommenders, where the goal is to...
متن کاملIntroducing Busy Customer Portfolio Using Hidden Markov Model
Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...
متن کامل