�ݺ�ߣshows by User: ligade

�ݺ�ߣshows by User: ligade / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ligade / Mon, 16 Jan 2017 06:50:17 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ligade Effective Results of Searching Song for Keyword-Based Retrieval Systems Using a Hybrid Recommendation Mechanism /slideshow/effective-results-of-searching-song-for-keywordbased-retrieval-systems-using-a-hybrid-recommendation-mechanism/71047411 c35d3eb81af8d98702e43f6cf1150fab-170116065017
Nowadays advent of new technologies users can use the internet and play any type of music from anywhere, anytime searching song it very easy. Searching songs, videos and movies by using keyword-based searching method it’s very most natural and simple way to searching it. In proposed system the recommendation is based on users profile and users search history is very most challenging task in this system. Hybrid recommendation mechanism to search song by giving text input by user as well as it recommends user by doing effective ranking of the results obtained. User can easily search songs, videos, movies through text recognition system. In order to perform a search, the users can enter the song title or artist. The keyword-search based method is providing better efficiency and accuracy for result. The main function of proposed system is to perform song searching based on text input giving by the user is easy and effective searching of songs. In proposed system we use the information from a user’s search history as well as the common properties of users with similar backgrounds. The keyword-based retrieval system is very simple and easy and is very helpful to all people. The proposed system uses the combination of songs, videos as well as movies are more intensive and efficient method of search using text query. The pattern of sorting text and audio information is based on music library and re-ranking of music search history. The proposed system is providing the security of our system is very innovative and challenging task in this system. Proposed system providing suggestions and does not need to enter the proper keyword to search songs, videos, movies.]]>
Nowadays advent of new technologies users can use the internet and play any type of music from anywhere, anytime searching song it very easy. Searching songs, videos and movies by using keyword-based searching method it’s very most natural and simple way to searching it. In proposed system the recommendation is based on users profile and users search history is very most challenging task in this system. Hybrid recommendation mechanism to search song by giving text input by user as well as it recommends user by doing effective ranking of the results obtained. User can easily search songs, videos, movies through text recognition system. In order to perform a search, the users can enter the song title or artist. The keyword-search based method is providing better efficiency and accuracy for result. The main function of proposed system is to perform song searching based on text input giving by the user is easy and effective searching of songs. In proposed system we use the information from a user’s search history as well as the common properties of users with similar backgrounds. The keyword-based retrieval system is very simple and easy and is very helpful to all people. The proposed system uses the combination of songs, videos as well as movies are more intensive and efficient method of search using text query. The pattern of sorting text and audio information is based on music library and re-ranking of music search history. The proposed system is providing the security of our system is very innovative and challenging task in this system. Proposed system providing suggestions and does not need to enter the proper keyword to search songs, videos, movies.]]> Mon, 16 Jan 2017 06:50:17 GMT /slideshow/effective-results-of-searching-song-for-keywordbased-retrieval-systems-using-a-hybrid-recommendation-mechanism/71047411 ligade@slideshare.net(ligade) Effective Results of Searching Song for Keyword-Based Retrieval Systems Using a Hybrid Recommendation Mechanism ligade Nowadays advent of new technologies users can use the internet and play any type of music from anywhere, anytime searching song it very easy. Searching songs, videos and movies by using keyword-based searching method it’s very most natural and simple way to searching it. In proposed system the recommendation is based on users profile and users search history is very most challenging task in this system. Hybrid recommendation mechanism to search song by giving text input by user as well as it recommends user by doing effective ranking of the results obtained. User can easily search songs, videos, movies through text recognition system. In order to perform a search, the users can enter the song title or artist. The keyword-search based method is providing better efficiency and accuracy for result. The main function of proposed system is to perform song searching based on text input giving by the user is easy and effective searching of songs. In proposed system we use the information from a user’s search history as well as the common properties of users with similar backgrounds. The keyword-based retrieval system is very simple and easy and is very helpful to all people. The proposed system uses the combination of songs, videos as well as movies are more intensive and efficient method of search using text query. The pattern of sorting text and audio information is based on music library and re-ranking of music search history. The proposed system is providing the security of our system is very innovative and challenging task in this system. Proposed system providing suggestions and does not need to enter the proper keyword to search songs, videos, movies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/c35d3eb81af8d98702e43f6cf1150fab-170116065017-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Nowadays advent of new technologies users can use the internet and play any type of music from anywhere, anytime searching song it very easy. Searching songs, videos and movies by using keyword-based searching method it’s very most natural and simple way to searching it. In proposed system the recommendation is based on users profile and users search history is very most challenging task in this system. Hybrid recommendation mechanism to search song by giving text input by user as well as it recommends user by doing effective ranking of the results obtained. User can easily search songs, videos, movies through text recognition system. In order to perform a search, the users can enter the song title or artist. The keyword-search based method is providing better efficiency and accuracy for result. The main function of proposed system is to perform song searching based on text input giving by the user is easy and effective searching of songs. In proposed system we use the information from a user’s search history as well as the common properties of users with similar backgrounds. The keyword-based retrieval system is very simple and easy and is very helpful to all people. The proposed system uses the combination of songs, videos as well as movies are more intensive and efficient method of search using text query. The pattern of sorting text and audio information is based on music library and re-ranking of music search history. The proposed system is providing the security of our system is very innovative and challenging task in this system. Proposed system providing suggestions and does not need to enter the proper keyword to search songs, videos, movies.

Effective Results of Searching Song for Keyword-Based Retrieval Systems Using a Hybrid Recommendation Mechanism from Suraj Ligade

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0 survey on Hybrid recommendation mechanism to get effective ranking results for mobile query /slideshow/survey-on-hybrid-recommendation-mechanism-to-get-effective-ranking-results-for-mobile-query/71047332 ijettcs-2016-03-04-8-170116064556
These days clients are having exclusive requirements towards advancements, they need to hunt tunes in such circumstances where they are not ready to recall tunes title or melody related points of interest. Recovery of music or melodies substance is one of the hardest errands and testing work in the field of Music Information Retrieval (MIR). There are different looking techniques created and executed, yet these seeking strategies are no more ready to inquiry tunes which required by the clients and confronting different issues like programmed playlist creation, music suggestion or music pursuit are connected issues. In past framework client seek the tune with the assistance of tune title, craftsman name and whatever other related points of interest so this strategy is exceptionally tedious. To beat this issue singing so as to look tune or murmuring a segment of it is the most regular approach to seek the tune. This hunt strategy is the most helpful when client don't have entry to sound gadget or client can't review the traits of the tune such as tune title, name of craftsman, name of collection. In proposed framework client have not stress over recalling the tune data and this technique is not tedious. In this strategy we utilize the data from a client's hunt history and in addition the normal properties of client's comparative foundations. Cross breed proposal component utilizes the substance construct recovery framework situated in light of utilization of the sound data such as tone, pitch, mood. This component used to get exact result to the client. The more imperative idea is clients ready to work their gadgets without manual information orders by hand. It is simple and basic system to perform music look.]]>
These days clients are having exclusive requirements towards advancements, they need to hunt tunes in such circumstances where they are not ready to recall tunes title or melody related points of interest. Recovery of music or melodies substance is one of the hardest errands and testing work in the field of Music Information Retrieval (MIR). There are different looking techniques created and executed, yet these seeking strategies are no more ready to inquiry tunes which required by the clients and confronting different issues like programmed playlist creation, music suggestion or music pursuit are connected issues. In past framework client seek the tune with the assistance of tune title, craftsman name and whatever other related points of interest so this strategy is exceptionally tedious. To beat this issue singing so as to look tune or murmuring a segment of it is the most regular approach to seek the tune. This hunt strategy is the most helpful when client don't have entry to sound gadget or client can't review the traits of the tune such as tune title, name of craftsman, name of collection. In proposed framework client have not stress over recalling the tune data and this technique is not tedious. In this strategy we utilize the data from a client's hunt history and in addition the normal properties of client's comparative foundations. Cross breed proposal component utilizes the substance construct recovery framework situated in light of utilization of the sound data such as tone, pitch, mood. This component used to get exact result to the client. The more imperative idea is clients ready to work their gadgets without manual information orders by hand. It is simple and basic system to perform music look.]]> Mon, 16 Jan 2017 06:45:56 GMT /slideshow/survey-on-hybrid-recommendation-mechanism-to-get-effective-ranking-results-for-mobile-query/71047332 ligade@slideshare.net(ligade) survey on Hybrid recommendation mechanism to get effective ranking results for mobile query ligade These days clients are having exclusive requirements towards advancements, they need to hunt tunes in such circumstances where they are not ready to recall tunes title or melody related points of interest. Recovery of music or melodies substance is one of the hardest errands and testing work in the field of Music Information Retrieval (MIR). There are different looking techniques created and executed, yet these seeking strategies are no more ready to inquiry tunes which required by the clients and confronting different issues like programmed playlist creation, music suggestion or music pursuit are connected issues. In past framework client seek the tune with the assistance of tune title, craftsman name and whatever other related points of interest so this strategy is exceptionally tedious. To beat this issue singing so as to look tune or murmuring a segment of it is the most regular approach to seek the tune. This hunt strategy is the most helpful when client don't have entry to sound gadget or client can't review the traits of the tune such as tune title, name of craftsman, name of collection. In proposed framework client have not stress over recalling the tune data and this technique is not tedious. In this strategy we utilize the data from a client's hunt history and in addition the normal properties of client's comparative foundations. Cross breed proposal component utilizes the substance construct recovery framework situated in light of utilization of the sound data such as tone, pitch, mood. This component used to get exact result to the client. The more imperative idea is clients ready to work their gadgets without manual information orders by hand. It is simple and basic system to perform music look. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ijettcs-2016-03-04-8-170116064556-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> These days clients are having exclusive requirements towards advancements, they need to hunt tunes in such circumstances where they are not ready to recall tunes title or melody related points of interest. Recovery of music or melodies substance is one of the hardest errands and testing work in the field of Music Information Retrieval (MIR). There are different looking techniques created and executed, yet these seeking strategies are no more ready to inquiry tunes which required by the clients and confronting different issues like programmed playlist creation, music suggestion or music pursuit are connected issues. In past framework client seek the tune with the assistance of tune title, craftsman name and whatever other related points of interest so this strategy is exceptionally tedious. To beat this issue singing so as to look tune or murmuring a segment of it is the most regular approach to seek the tune. This hunt strategy is the most helpful when client don't have entry to sound gadget or client can't review the traits of the tune such as tune title, name of craftsman, name of collection. In proposed framework client have not stress over recalling the tune data and this technique is not tedious. In this strategy we utilize the data from a client's hunt history and in addition the normal properties of client's comparative foundations. Cross breed proposal component utilizes the substance construct recovery framework situated in light of utilization of the sound data such as tone, pitch, mood. This component used to get exact result to the client. The more imperative idea is clients ready to work their gadgets without manual information orders by hand. It is simple and basic system to perform music look.

survey on Hybrid recommendation mechanism to get effective ranking results for mobile query from Suraj Ligade

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0 Introduction to Android /slideshow/introduction-to-android-and-malware/46685636 introduction-150406103440-conversion-gate01
Introduction to Android Malware and other PPT contains Permission Based Malware Detection in Deep.]]>
Introduction to Android Malware and other PPT contains Permission Based Malware Detection in Deep.]]> Mon, 06 Apr 2015 10:34:40 GMT /slideshow/introduction-to-android-and-malware/46685636 ligade@slideshare.net(ligade) Introduction to Android ligade Introduction to Android Malware and other PPT contains Permission Based Malware Detection in Deep. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introduction-150406103440-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Introduction to Android Malware and other PPT contains Permission Based Malware Detection in Deep.

Introduction to Android from Suraj Ligade

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0 https://cdn.slidesharecdn.com/profile-photo-ligade-48x48.jpg?cb=1523274818 I am cool and friendly person. I like programming, chatting and study. my dream is to become a successful computer engineer and also successful businessman. https://cdn.slidesharecdn.com/ss_thumbnails/c35d3eb81af8d98702e43f6cf1150fab-170116065017-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/effective-results-of-searching-song-for-keywordbased-retrieval-systems-using-a-hybrid-recommendation-mechanism/71047411 Effective Results of S... https://cdn.slidesharecdn.com/ss_thumbnails/ijettcs-2016-03-04-8-170116064556-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/survey-on-hybrid-recommendation-mechanism-to-get-effective-ranking-results-for-mobile-query/71047332 survey on Hybrid recom... https://cdn.slidesharecdn.com/ss_thumbnails/introduction-150406103440-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introduction-to-android-and-malware/46685636 Introduction to Android