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History Dependent Recommender Systems Based on Partial Matching [chapter]

Armelle Brun, Geoffray Bonnin, Anne Boyer
2009 Lecture Notes in Computer Science  
This paper focuses on the utilization of the history of navigation within recommender systems.  ...  It aims at designing a collaborative recommender based on Markov models relying on partial matching in order to ensure high accuracy, coverage, robustness, low complexity while being anytime.  ...  Conclusion and Perspectives In this paper, we focus on context dependent recommender systems.  ... 
doi:10.1007/978-3-642-02247-0_34 fatcat:rvphz66clngxxbvzgxmrr2lz7i

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games [article]

Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo
2022 arXiv   pre-print
This paper presents a personalized character recommendation system for Multiplayer Online Battle Arena (MOBA) games which are considered as one of the most popular online video game genres around the world  ...  However, the complexity of drafting induces difficulties for beginners to choose the appropriate characters based on the characters of their team while considering their own champion preferences.  ...  RELATED WORK 2.1 Recommender Systems Traditional recommender systems attempt to estimate a user's preferences and recommend items base on them [6] .  ... 
arXiv:2204.12750v1 fatcat:da3hc7xjgngitaumehe236zf4u

Predicting Music Relistening Behavior Using the ACT-R Framework [article]

Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021 arXiv   pre-print
In contrast to prior work, which uses only the base-level component of ACT-R, we utilize five components of ACT-R, i.e., base-level, spreading, partial matching, valuation, and noise, to investigate the  ...  Providing suitable recommendations is of vital importance to improve the user satisfaction of music recommender systems.  ...  is in stark contrast to movie or product recommendation systems, where users typically do not prefer repeated recommendations [21, 24] .  ... 
arXiv:2108.02138v2 fatcat:vsc26z7ptngtpjmqlbfqycd4u4

Comparative Study on Approaches of Recommendation System

Roshni K.Sorde, Sachin N. Deshmukh
2015 International Journal of Computer Applications  
Generally, Recommendation system gives suggestions on content like what items to buy, which music to listen or what online news to read. Depending on the users liking the items are suggested.  ...  Recommender systems are the software engines and approaches for providing suggestion of products to the user which might be most probably matched with the user's like/choice.  ...  These ratings could be taken directly by users surfing history and other sources it depends on the system what type of data is required for what type of system.  ... 
doi:10.5120/20716-3059 fatcat:zy7iwrku7vdnpnccy7ocmpkbxm

Reinforcement learning architecture for Web recommendations

N. Golovin, E. Rahm
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
This paper describes the architecture of a rule-based recommendation system which combines recommendations from different algorithms in a single recommendation database.  ...  We describe the general architecture of the system, the database structure, the learning algorithm and the test setting for assessing the quality of the approach.  ...  adapt and optimize the recommendations based on implicit user feedback.  ... 
doi:10.1109/itcc.2004.1286487 dblp:conf/itcc/GolovinR04 fatcat:q4mo3pmzh5czzohklgs4c6rln4

Recommender system for model driven software development

Stefan Kögel
2017 Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering - ESEC/FSE 2017  
Recommendations can be based on common model transformations that are taken from the literature or learned from models in version control systems.  ...  We created a prototype recommender that analyses the change history of a single model.  ...  ACKNOWLEDGMENTS This work was partially supported by the DFG (German Research Foundation) (grant numbers TI 803/2-2 and TI 803/4-1).  ... 
doi:10.1145/3106237.3119874 dblp:conf/sigsoft/Kogel17 fatcat:xofsv2ugvjcwzatvprk5dut7xe

Search Personalization: Knowledge-Based Recommendation in Digital Libraries

Todd C. Will, Anand Srinivasan, Il Im, Yi-fang Brook Wu
2009 Americas Conference on Information Systems  
The latest research effort advances a new type of recommendation technique, Knowledge Based (KB) engines, that strive to understand the context of the user's current information need and then filter information  ...  The KB engine performance was compared with Content Based (CB) and Collaborative Filtering (CF) recommendation techniques and the text search engine Lucene by asking sixty subjects to perform two different  ...  Weighted Average Matching Clickstream (Partial) As the CF engine requires at least one matching click in order to generate recommendations, the minimum number of matching clicks was set to one; using a  ... 
dblp:conf/amcis/WillSIW09 fatcat:ecftfx7vivchvi5m2wtb6wlbzi

Pythia: A Privacy-Enhanced Personalized Contextual Suggestion System for Tourism

George Drosatos, Pavlos S. Efraimidis, Avi Arampatzis, Giorgos Stamatelatos, Ioannis N. Athanasiadis
2015 2015 IEEE 39th Annual Computer Software and Applications Conference  
This profile is then used by a contextual suggestion engine for making POI recommendations to the user based on her current location.  ...  More precisely, the system utilizes (sensitive) personal data, such as location traces, browsing history and web searches (query logs), to build a POI-based user profile.  ...  ACKNOWLEDGMENT This work has been partially supported by project ATLAS (Advanced Tourism Planning System), GSRT/CO-OPERATION/11SYN-10-1730.  ... 
doi:10.1109/compsac.2015.88 dblp:conf/compsac/DrosatosEASA15 fatcat:3q7mj5qihjca3j67lqrr2nuiey

Combining social-based and information-based approaches for personalised recommendation on sequencing learning activities

Hans G.K. Hummel, Bert Van Den Berg, Adriana J. Berlanga, Hendrik Drachsler, Jose Janssen, Rob Nadolski, Rob Koper
2007 International Journal of Learning Technology  
next learning activity to be completed. (2007) 'Combining social-based and information-based approaches for personalised recommendation on sequencing learning activities ', Int.  ...  Both model and system combine social-based (i.e., completion data from other learners) and information-based (i.e., metadata from learner profiles and learning activities) approaches to recommend the best  ...  Figure 1 1 Social-based versus information-based approaches Figure 3 3 Personalised recommendation system: overview page Figure 4 4 Counts (cumulative) of recommendations based on ontology and collaborative  ... 
doi:10.1504/ijlt.2007.014842 fatcat:jvo5cad3p5bgjhmoa4omfx3qbu

CHAYANI: A Shopper's Assistant

S. Sen, P. Sarathi Dutta, S. Debnath
2005 Journal of Intelligent Systems  
Agent based systems allow merchants to tailor the presentation of their merchandise and/or services to the users.  ...  The main goal of the agent is to identify the buyer's interests, search the information repository based on this information, filter the search results and suggest relevant alternatives based on the search  ...  ., the partial order relations are not dependent on the type of user querying the system.  ... 
doi:10.1515/jisys.2005.14.1.3 fatcat:zhawccvs7rhytcsjh6mzkeonj4

Psychological evaluation at juvenile court disposition

Thomas Hecker, Laurence Steinberg
2002 Professional Psychology: Research and Practice  
Do psychologists' evaluations of juvenile offenders prior to dispositional placement have a measurable effect on judges' decision making?  ...  issues by investigating the quality of 172 predisposition psychological evaluation reports from a Philadelphia-area juvenile court jurisdiction and the association between report quality and judges' recommendation  ...  Therefore, the dependent variable was dichotomized into partial or full acceptance.  ... 
doi:10.1037//0735-7028.33.3.300 fatcat:klda2jq53jf6ho3e6opzwcftfa

Psychological evaluation at juvenile court disposition

Thomas Hecker, Laurence Steinberg
2002 Professional Psychology: Research and Practice  
Do psychologists' evaluations of juvenile offenders prior to dispositional placement have a measurable effect on judges' decision making?  ...  issues by investigating the quality of 172 predisposition psychological evaluation reports from a Philadelphia-area juvenile court jurisdiction and the association between report quality and judges' recommendation  ...  Therefore, the dependent variable was dichotomized into partial or full acceptance.  ... 
doi:10.1037/0735-7028.33.3.300 fatcat:ae5svrgnrzdcjncbgag3t4u3eq

Supporting Flexible Processes through Recommendations Based on History [chapter]

Helen Schonenberg, Barbara Weber, Boudewijn van Dongen, Wil van der Aalst
2008 Lecture Notes in Computer Science  
Recommendations are generated based on similar past process executions by considering the specific optimization goals.  ...  In this paper we propose a recommendation service, which, when used in combination with flexible PAISs, can support end users during process execution by giving recommendations on possible next steps.  ...  The calculation of the degree of matching depends on the trace abstraction. For prefixes, the weight of a log trace is 1 if the partial trace is a prefix of the log trace, otherwise, the weight is 0.  ... 
doi:10.1007/978-3-540-85758-7_7 fatcat:j7dptmkynva2bccfuaiqxnayrq

Survey: Optimal Travel Route Discovery based on Topic Interest and Image Attributes

Asha Murali, Amina Beevi A
2018 International Journal of Trend in Scientific Research and Development  
Explicitly, the system designs a keyword extraction module to classify POI tags so as to effectively match the query keywords.  ...  In order to evaluate the effectiveness and efficiency of th algorithm, extensive experiments were conducted on location-based real social network datasets.  ...  For many years, the recommendation system has been extensively studied and divided into diffe categories depending on the method used.  ... 
doi:10.31142/ijtsrd11303 fatcat:a23xghswqjhc5nyhkef5seh2vm

A survey of job recommender systems

Shaha T. Al-Otaibi
2012 International Journal of Physical Sciences  
This article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching.  ...  The recommender system technology aims to help users in finding items that match their personnel interests; it has a successful usage in e-commerce applications to deal with problems related to information  ...  For example, the machine learned recommender system in paragraph 0 builds an automated system to recommend jobs for applicants based on their past job histories.  ... 
doi:10.5897/ijps12.482 fatcat:rg4pm4zzgrhhbogdxsfswvglam
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