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Location-aware click prediction in mobile local search

Dimitrios Lymberopoulos, Peixiang Zhao, Christian Konig, Klaus Berberich, Jie Liu
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
Location-aware Click Prediction in Mobile Local Search Dimitrios Lymberopoulos‡ , Peixiang Zhao† , Christian König‡ , Klaus Berberich§ , Jie Liu‡  ...  Based on the data analysis, we propose new First, mobile devices provide significantly more accurate location location-aware features for improving local search click prediction  ... 
doi:10.1145/2063576.2063640 dblp:conf/cikm/LymberopoulosZKBL11 fatcat:aqnmmb2c3zhc5idssqpy5cnnqa

Trajectory-aware mobile search

Shahriyar Amini, A.J. Brush, John Krumm, Jaime Teevan, Amy Karlson
2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12  
We present Trajectory-Aware Search (TAS), a mobile local search application that predicts the user's destination in real-time based on location data from the current trip and shows search results near  ...  TAS demonstrates the feasibility of destination prediction in an interactive mobile application.  ...  TRAJECTORY-AWARE SEARCH PROTOTYPE Given the popularity of restaurant searches (representing 45% of all local mobile searches [9] ) we designed the TAS prototype to support local restaurant searches.  ... 
doi:10.1145/2207676.2208644 dblp:conf/chi/AminiBKTK12 fatcat:5wb4yuzc2vdmbdrihkrknxodoi

Exploiting Consumptive Behavior Based Data Mining of Mobile Environment

Dr. Jayeshkumar Madhubhai Patel
2019 Figshare  
In this paper, a data mining method for generating mobile clients' location-aware service rules are used and we use a data mining algorithm which involves mining for location-based services.  ...  We show that personalized mobile search perform well for ambiguous queries and localized searches.  ...  Data generated in a mobile context are gathered through a mobile device and sent in a stream to a remote server to be stored into a local database.  ... 
doi:10.6084/m9.figshare.7824932 fatcat:wvdw6hcvbzdizjpf7vdn5rurua

A Client-Server Architecture for Context-Aware Search Application

Feng Gui, Magno Guillen, Naphtali Rishe, Armando Barreto, Jean Andrian, Malek Adjouadi
2009 2009 International Conference on Network-Based Information Systems  
The integration of user context into Yahoo search engines proves how context-aware searches can meet user demands for tailored services and products in and around the user's environment.  ...  A context-aware architecture is designed to collect the mobile user's context information, derive mobile user's current context, distribute user context among context-aware applications, and support the  ...  We further predict that the increased usage of location-based applications and services will lead mobile users to search for local services and information.  ... 
doi:10.1109/nbis.2009.75 dblp:conf/nbis/GuiGRBAA09 fatcat:jibyavpk3zeytghgebbl37u4r4

When recommendation meets mobile

Jinfeng Zhuang, Tao Mei, Steven C.H. Hoi, Ying-Qing Xu, Shipeng Li
2011 Proceedings of the 13th international conference on Ubiquitous computing - UbiComp '11  
The approach, highly motivated from a large-scale mobile click-through analysis, is able to rank both the entity types and the entities within each type (here an entity is a local business, e.g., "I love  ...  We evaluate recommendation performance on 10 thousand mobile clicks, as well as user experience through subjective user studies.  ...  We also thank the subjects involved in our user studies.  ... 
doi:10.1145/2030112.2030134 dblp:conf/huc/ZhuangMHXL11 fatcat:lmullxqsajcyfc3scojszlhh3u

Global budgets for local recommendations

Thomas Sandholm, Hang Ung, Christina Aperjis, Bernardo A. Huberman
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
Users rate the relevance of recommendations for particular locations using a limited, global voting budget. This budget is, in turn, increased by accurately predicting local content popularity.  ...  a novel geo-aware rating and incentive mechanism.  ...  Geographic and mobile search One may claim that entering a geographic keyword term in a traditional search engine would mimic the behavior of geographically aware search services, such as LBS [21] .  ... 
doi:10.1145/1864708.1864715 dblp:conf/recsys/SandholmUAH10 fatcat:uml462vlcfaypbgd47rs6v6rwy


2013 International Journal of Information Technology and Decision Making  
In this paper, we note these informationrich applications as the context-aware personalized recommender systems, 4 such as the context-aware mobile recommendations.  ...  Therefore, in this paper, we provide a focused survey of the recent development of context-aware mobile recommendations.  ...  Further, Lane et al. 62 presented another local search technology for mobile phones, Hapori, that not only takes into account location in the search query but also richer context such as the time, weather  ... 
doi:10.1142/s0219622013500077 fatcat:q7fvqibeonaz3nwah6s5t4pfhy

A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network

Kam Fung Yeung, Yanyan Yang, David Ndzi
2012 Journal of Internet Services and Applications  
This paper describes a hybrid P2P context-aware framework called JHPeer which supports a variety of context-aware applications in mobile environments.  ...  The automatic provision of just-in-time information or recommendations tailored to each user's needs/preferences contextualised from the user's activities, location, usage patterns, time, and connectivity  ...  PPNews incorporates news recency, user interest, keywords, peer ratings, user's click history as well as location in a real-time manner. The details are discussed in Sect. 6.  ... 
doi:10.1007/s13174-012-0061-3 fatcat:w2iy6iradzeefi3uwukninihpi

Visual Search at Alibaba

Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin
2018 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18  
Specifically, model and search-based fusion approach is introduced to effectively predict categories.  ...  Extensive experiments demonstrate the advancement of each module in our system. We hope visual search at Alibaba becomes more widely incorporated into today's commercial applications.  ...  We further exploit the quality-aware metadata to improve the Click Through Rate(CTR) and Click Value Rate(CVR) in order to evolve more users.  ... 
doi:10.1145/3219819.3219820 dblp:conf/kdd/ZhangPZZZRJ18 fatcat:caa42i3xmzfxhiddso5sjq6czy

Service platform for rapid development and deployment of context-aware, mobile applications

S. Pokraev, J. Koolwaaij, M. van Setten, T. Broens, P.D. Costa, M. Wibbels, P. Ebben, P. Strating
2005 IEEE International Conference on Web Services (ICWS'05)  
In this paper we present a web services-based platform that facilitates and speeds up the development and deployment of context-aware, integrated mobile speech and data applications.  ...  To illustrate the usefulness of the platform and to validate the claim that cross-platform application development, in particular mobile, context-aware applications, is easier and faster with web services  ...  Acknowledgements The first version of the platform was developed in Freeband WASP [5] project. An improved version is being developed in Freeband AWARENESS [4] .  ... 
doi:10.1109/icws.2005.106 dblp:conf/icws/PokraevKSBCWES05 fatcat:jzo4uplyandhfkoivfp5cicq6m


Hamed Haddadi, Pan Hui, Ian Brown
2010 Proceedings of the fifth ACM international workshop on Mobility in the evolving internet architecture - MobiArch '10  
In this paper we provide an overview into existing advertising systems and privacy concerns on mobile phones, in addition to the scalable local ad download and privacy-aware DTN-based click report dissemination  ...  We introduce MobiAd; a scalable, location-aware, personalised and private advertising system for mobile platforms.  ...  We are working on building a prototype for Apple iPhone, Google Android and Microsoft Windows mobile platforms in order to carry on a pilot study.  ... 
doi:10.1145/1859983.1859993 fatcat:hflvlbmhazf2lavrhcn3u7qqgi

Real-time, location-aware collaborative filtering of web content

Thomas Sandholm, Hang Ung
2011 Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation - CaRR '11  
In this paper we describe the collaborative filtering feature of a location-aware, Web content recommendation service, called Gloe.  ...  Our solution is to apply item-based, top-N collaborative filtering within a hierarchical folksonomy structure in a Geohash pre-partitioned geographic locale.  ...  information either in the form of location-scoped keyword search or location-aware content feeds.  ... 
doi:10.1145/1961634.1961638 fatcat:kr6p2o7joffqvl7wrl476qjlhu

A survey on applications of cloudlet infrastructure in mobile cloud computing

2016 International Journal of Latest Trends in Engineering and Technology  
Second, it collects information about user clicks, such as when and how many times the user clicks on a search result after a query is submitted, to customize ranking of search results to user's click  ...  When a query is submitted, PocketSearch will first perform a lookup in the cache to find out if there are locally available search results for the given query.  ... 
doi:10.21172/1.81.040 fatcat:6nsojlkhhvggplkxhx6fxl2h5q


Byoungjip Kim, Jin-Young Ha, SangJeong Lee, Seungwoo Kang, Youngki Lee, Yunseok Rhee, Lama Nachman, Junehwa Song
2011 Proceedings of the 12th Workshop on Mobile Computing Systems and Applications - HotMobile '11  
In this paper, we present AdNext, a visit-pattern-aware mobile advertising system for urban commercial complexes.  ...  As smartphones have become prevalent, mobile advertising is getting significant attention as being not only a killer application in future mobile commerce, but also as an important business model of emerging  ...  There are many challenges in developing a visit-pattern-aware mobile advertising system.  ... 
doi:10.1145/2184489.2184492 dblp:conf/wmcsa/KimHLKLRNS11 fatcat:v3g4qk74hndxnotnw6ljvd64n4


Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2014 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14  
In this demonstrator, we detail the architecture of the system and the data that we collect in real-time to be able to perform the predictions.  ...  We use the predicted levels of attendance to infer the popularity of a venue at future points in time, and to provide the user with recommendations at different times of the day.  ...  Acknowledgments This work has been carried out in the scope of the EC cofunded project SMART (FP7-287583).  ... 
doi:10.1145/2661829.2661855 dblp:conf/cikm/DeveaudAMMO14 fatcat:lbgnosqevra4fcethnwalc6kfq
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