1 Clustering Mohammad Rezaei

Clustering  Module 1  Input: raw data and parameters  Output: clusters information  Module 2  Input: raw data and parameters  Output: Clustered markers and all functionalities for handling them on the map 2 Markers on the Google map

Module 1 File: clustering.js Class: mopsiClustering Usage: dataCluster = {}; dataCluster.data = []; params = {type: "sameServices2", distTh:20, keyword:keyword}; for (i=0; i < lenData; i++) { dataCluster.data[i] = {}; dataCluster.data[i].x = searchResults[i].lat; dataCluster.data[i].y = searchResults[i].lon; dataCluster.data[i].name = searchResults[i].name; } dataCluster.len1 = len1; dataCluster.len2 = len2; dataOut = objCluster.applyClustering(dataCluster, params); DelItemList1 = dataOut.delItems; DelItemList = DelItemList.concat(DelItemList1); 3

search_kw abd search_lnk Tables  List of keywords for local services in search_kw 4 0pysäkki 4ravintola 5kahvila search_kwsearch_lnk List of keywords for local services

Logic of finding keywords 1. Find all KW_ID from search_lnk table when SERV_ID=X 2. For each KW_ID find the keyword from search_kw table 5

Photo of a service  Find photo where service_id=X  Service_id = 0 means the photo is not linked to any service _ _ jpg MopsiAndreiT NokiaN95_8G B/ image/jpg photo 1- If we delete a photo, we will not have the photo for the service as well 2- For a service there is a photo, then we have the location of the photo from point_id and point table, is it the same as location of the service we already have in search_cache table?

Rating  User can rate a service when he is logged in  User (with user_id) rates a service from x=1 to 5  In services_rating: rating += x and total_votes += 1  This is logged in “votes” table so that the user cannot rate that service again until a certain time  To display rating for a service: average = int(rating/total_votes) services_rating votes

Search by keyword 8