Erratum to: Exploiting geotagged resources to spatial ranking by extending hits algorithm
نویسندگان
چکیده
With a large amount of geotagged resources from smart devices, it is important to provide users with intelligent location-based services. Particularly, in this work, we focus on spatial ranking service, which can retrieve a set of relevant resources with a certain tag. This paper designs ranking algorithm in order to find out a list of locations which are collected from geotagged resources on SNSs. As extending HITS algorithm [13], we propose a novel method (called GeoHITS) that can analyze an undirected 2-mode graph composed with a set of tags and a set of locations. Thereby, meaningful relationships between the locations and a set of tags are discovered by integrating several weighting schemes and HITS algorithm. To evaluate the proposed spatial ranking approach, we have shows the experimental results from the recommendation applications.
منابع مشابه
Search-based automatic image annotation using geotagged community photos
In the Web 2.0 era, platforms for sharing and collaboratively annotating images with keywords, called tags, became very popular. Tags are a powerful means for organizing and retrieving photos. However, manual tagging is time consuming. Recently, the sheer amount of user-tagged photos available on the Web encouraged researchers to explore new techniques for automatic image annotation. The idea i...
متن کاملMCHITS: Monte Carlo based Method for Hyperlink Induced Topic Search on Networks
Hyperlink Induced Topic Search (HITS) is the most authoritative and most widely used personalized ranking algorithm on networks. The HITS algorithm ranks nodes on networks according to power iteration, and has high complexity of computation. This paper models the HITS algorithm with the Monte Carlo method, and proposes Monte Carlo based algorithms for the HITS computation. Theoretical analysis ...
متن کاملSearch-based automatic image annotation using geotagged community photos. (Recherche basée sur l'annotation automatique des images à l'aide de photos collaboratives géolocalisées)
In the Web 2.0 era, platforms for sharing and collaboratively annotating images with keywords, called tags, became very popular. Tags are a powerful means for organizing and retrieving photos. However, manual tagging is time consuming. Recently, the sheer amount of user-tagged photos available on the Web encouraged researchers to explore new techniques for automatic image annotation. The idea i...
متن کاملTHUSAM at NTCIR-11 IMine Task
This paper describes our approaches and results in NTCIR11 IMine task. In 2014, we participate in subtasks for Chinese/English Subtopic Mining and Chinese Document Ranking. In Subtopic Mining subtask, we mine subtopic candidates from various resources and construct the subtopic hierarchy with several different strategies. In Document Ranking subtask, we rerank the result lists with HITS algorit...
متن کاملI know I stored it somewhere - Contextual Information and Ranking on our Desktop
1 Motivation Future digital libraries will be distributed, and recent research has already explored some promising approaches focusing on distributed and peer-to-peer search and retrieval architectures, connecting distributed repositories efficiently and transparently. Another aspect, which has been less explored so far, is the role of the implicit personal repositories we all have on our deskt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Comput. Sci. Inf. Syst.
دوره 13 شماره
صفحات -
تاریخ انتشار 2015